Transport assessment

ABSTRACT

An example operation includes one or more of receiving, by a server, characteristics related to a transport within a time period, wherein the characteristics are related to a condition of the transport, an operation behavior of the transport and an upkeep of the transport, providing, by the server, one or more actions to perform by the transport to increase a level of the characteristics, and responsive to the level of the characteristics being increased, determining, by the server, a next use of the transport after the time period.

BACKGROUND

Vehicles or transports, such as cars, motorcycles, trucks, planes,trains, etc., generally provide transportation needs to occupants and/orgoods in a variety of ways. Functions related to transports may beidentified and utilized by various computing devices, such as asmartphone or a computer located on and/or off the transport.

SUMMARY

One example embodiment provides a method that includes one or more ofobtaining, by a transport, data related to a performance of thetransport, determining, by the transport, a performance level of thetransport based on the obtained data, dynamically revising, by thetransport, the performance level based on a current use of thetransport, and determining, by the transport, a next use of thetransport, based on the dynamically revised performance level.

Another example embodiment provides a system that includes a memorycommunicably coupled to a processor, wherein the processor performs oneor more of obtain data related to a performance of the transport,determine a performance level of the transport based on the obtaineddata, dynamically revise the performance level based on a current use ofthe transport, and determine a next use of the transport, based on thedynamically revised performance level.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of obtaining, by a transport, datarelated to a performance of the transport, determining, by thetransport, a performance level of the transport based on the obtaineddata, dynamically revising, by the transport, the performance levelbased on a current use of the transport, and determining, by thetransport, a next use of the transport, based on the dynamically revisedperformance level.

One example embodiment provides a method that includes one or more ofobtaining, by a transport, data related to a performance of thetransport, determining, by the transport, a performance level of thetransport based on the obtained data, dynamically revising, by thetransport, the performance level based on a current use of thetransport, and determining, by the transport, a next use of thetransport, based on the dynamically revised performance level.

Another example embodiment provides a system that includes a memorycommunicably coupled to a processor, wherein the processor performs oneor more of receive characteristics related to a transport within a timeperiod, wherein the characteristics are related to a condition of thetransport, an operation behavior of the transport and an upkeep of thetransport, provide one or more actions to perform by the transport toincrease a level of the characteristics, and responsive to the level ofthe characteristics that is increased, determine a next use of thetransport after the time period.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of obtaining, by a transport, datarelated to a performance of the transport, determining, by thetransport, a performance level of the transport based on the obtaineddata, dynamically revising, by the transport, the performance levelbased on a current use of the transport, and determining, by thetransport, a next use of the transport, based on the dynamically revisedperformance level.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A illustrates a process of a dynamic performance level, accordingto example embodiments.

FIG. 1B illustrates a dynamic performance level of a transport,according to example embodiments.

FIG. 1C illustrates a flowchart to determine a next use of a transport,according to example embodiments.

FIG. 1D illustrates a vehicle history report, according to exampleembodiments.

FIG. 1E illustrates another vehicle history report, according to exampleembodiments.

FIG. 1F illustrates yet another vehicle history report, according toexample embodiments.

FIG. 1G illustrates another flowchart, according to example embodiments.

FIG. 2A illustrates a transport network diagram, according to exampleembodiments.

FIG. 2B illustrates another transport network diagram, according toexample embodiments.

FIG. 2C illustrates yet another transport network diagram, according toexample embodiments.

FIG. 2D illustrates a further transport network diagram, according toexample embodiments.

FIG. 2E illustrates yet a further transport network diagram, accordingto example embodiments.

FIG. 2F illustrates yet a further transport network diagram, accordingto example embodiments.

FIG. 2G illustrates yet a further transport network diagram, accordingto example embodiments.

FIG. 2H illustrates a diagram depicting electrification of one or moreelements, according to example embodiments.

FIG. 2I illustrates a diagram depicting interconnections betweendifferent elements, according to example embodiments.

FIG. 2J illustrates a further diagram depicting interconnections betweendifferent elements, according to example embodiments.

FIG. 2K illustrates yet a further diagram depicting interconnectionsbetween elements, according to example embodiments.

FIG. 2L illustrates yet a further diagram depicting a keyless entrysystem, according to example embodiments.

FIG. 2M illustrates yet a further diagram depicting a CAN within atransport, according to example embodiments.

FIG. 2N illustrates yet a further diagram depicting an end-to-endcommunication channel, according to example embodiments.

FIG. 2O illustrates yet a further diagram depicting an example oftransports performing secured V2V communications using securitycertificates, according to example embodiments.

FIG. 3A illustrates a flowchart, according to example embodiments.

FIG. 3B illustrates another flowchart, according to example embodiments.

FIG. 3C illustrates yet another flowchart, according to exampleembodiments.

FIG. 3D illustrates yet another flowchart, according to exampleembodiments.

FIG. 3E illustrates yet another flowchart, according to exampleembodiments.

FIG. 4 illustrates a machine learning transport network diagram,according to example embodiments.

FIG. 5A illustrates an example vehicle configuration for managingdatabase transactions associated with a vehicle, according to exampleembodiments.

FIG. 5B illustrates another example vehicle configuration for managingdatabase transactions conducted among various vehicles, according toexample embodiments

FIG. 6A illustrates a blockchain architecture configuration, accordingto example embodiments.

FIG. 6B illustrates another blockchain configuration, according toexample embodiments.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments.

FIG. 6D illustrates example data blocks, according to exampleembodiments.

FIG. 7 illustrates an example system that supports one or more of theexample embodiments.

DETAILED DESCRIPTION

It will be readily understood that the instant components, as generallydescribed and illustrated in the figures herein, may be arranged anddesigned in a wide variety of different configurations. Thus, thefollowing detailed description of the embodiments of at least one of amethod, apparatus, non-transitory computer readable medium and system,as represented in the attached figures, is not intended to limit thescope of the application as claimed but is merely representative ofselected embodiments.

Communications between the transport(s) and certain entities, such asremote servers, other transports and local computing devices (e.g.,smartphones, personal computers, transport-embedded computers, etc.) maybe sent and/or received, and processed by one or more ‘components’ whichmay be hardware, firmware, software or a combination thereof. Thecomponents may be part of any of these entities or computing devices orcertain other computing devices. In one example, consensus decisionsrelated to blockchain transactions may be performed by one or morecomputing devices or components (which may be any element describedand/or depicted herein) associated with the transport(s) and one or moreof the components outside or at a remote location from the transport(s).

The instant features, structures, or characteristics as describedthroughout this specification may be combined in any suitable manner inone or more embodiments. For example, the usage of the phrases “exampleembodiments”, “some embodiments”, or other similar language, throughoutthis specification refers to the fact that a particular feature,structure, or characteristic described in connection with the embodimentmay be included in at least one embodiment. Thus, appearances of thephrases “example embodiments”, “in some embodiments”, “in otherembodiments”, or other similar language, throughout this specificationdo not necessarily all refer to the same group of embodiments, and thedescribed features, structures, or characteristics may be combined inany suitable manner in one or more embodiments. In the diagrams, anyconnection between elements can permit one-way and/or two-waycommunication even if the depicted connection is a one-way or two-wayarrow. In the current solution, a transport may include one or more ofcars, trucks, walking area battery electric vehicle (BEV), e-Palette,fuel cell bus, motorcycles, scooters, bicycles, boats, recreationalvehicles, planes, and any object that may be used to transport peopleand or goods from one location to another.

In addition, while the term “message” may have been used in thedescription of embodiments, other types of network data, such as, apacket, frame, datagram, etc. may also be used. Furthermore, whilecertain types of messages and signaling may be depicted in exemplaryembodiments they are not limited to a certain type of message andsignaling.

Example embodiments provide methods, systems, components, non-transitorycomputer readable media, devices, and/or networks, which provide atleast one of: a transport (also referred to as a vehicle or car herein),a data collection system, a data monitoring system, a verificationsystem, an authorization system and a vehicle data distribution system.The vehicle status condition data, received in the form of communicationmessages, such as wireless data network communications and/or wiredcommunication messages, may be processed to identify vehicle/transportstatus conditions and provide feedback as to the condition and/orchanges of a transport. In one example, a user profile may be applied toa particular transport/vehicle to authorize a current vehicle event,service stops at service stations, to authorize subsequent vehiclerental services, and enable vehicle to vehicle communications.

Within the communication infrastructure, a decentralized database is adistributed storage system, which includes multiple nodes thatcommunicate with each other. A blockchain is an example of adecentralized database, which includes an append-only immutable datastructure (i.e. a distributed ledger) capable of maintaining recordsbetween untrusted parties. The untrusted parties are referred to hereinas peers, nodes or peer nodes. Each peer maintains a copy of thedatabase records and no single peer can modify the database recordswithout a consensus being reached among the distributed peers. Forexample, the peers may execute a consensus protocol to validateblockchain storage entries, group the storage entries into blocks, andbuild a hash chain via the blocks. This process forms the ledger byordering the storage entries, as is necessary, for consistency. In apublic or permissionless blockchain, anyone can participate without aspecific identity. Public blockchains can involve crypto-currencies anduse consensus based on various protocols such as proof of work (PoW).Conversely, a permissioned blockchain database can secure interactionsamong a group of entities, which share a common goal, but which do notor cannot fully trust one another, such as businesses that exchangefunds, goods, information, and the like. The instant solution canfunction in a permissioned and/or a permissionless blockchain setting.

Smart contracts are trusted distributed applications, which leveragetamper-proof properties of the shared or distributed ledger (which maybe in the form of a blockchain) and an underlying agreement betweenmember nodes, which is referred to as an endorsement or endorsementpolicy. In general, blockchain entries are “endorsed” before beingcommitted to the blockchain while entries, which are not endorsed aredisregarded. A typical endorsement policy allows smart contractexecutable code to specify endorsers for an entry in the form of a setof peer nodes that are necessary for endorsement. When a client sendsthe entry to the peers specified in the endorsement policy, the entry isexecuted to validate the entry. After validation, the entries enter anordering phase in which a consensus protocol is used to produce anordered sequence of endorsed entries grouped into blocks.

Nodes are the communication entities of the blockchain system. A “node”may perform a logical function in the sense that multiple nodes ofdifferent types can run on the same physical server. Nodes are groupedin trust domains and are associated with logical entities that controlthem in various ways. Nodes may include different types, such as aclient or submitting-client node, which submits an entry-invocation toan endorser (e.g., peer), and broadcasts entry-proposals to an orderingservice (e.g., ordering node). Another type of node is a peer node,which can receive client submitted entries, commit the entries andmaintain a state and a copy of the ledger of blockchain entries. Peerscan also have the role of an endorser. An ordering-service-node ororderer is a node running the communication service for all nodes, andwhich implements a delivery guarantee, such as a broadcast to each ofthe peer nodes in the system when committing entries and modifying aworld state of the blockchain. The world state can constitute theinitial blockchain entry, which normally includes control and setupinformation.

A ledger is a sequenced, tamper-resistant record of all statetransitions of a blockchain. State transitions may result from smartcontract executable code invocations (i.e., entries) submitted byparticipating parties (e.g., client nodes, ordering nodes, endorsernodes, peer nodes, etc.). An entry may result in a set of assetkey-value pairs being committed to the ledger as one or more operands,such as creates, updates, deletes, and the like. The ledger includes ablockchain (also referred to as a chain), which is used to store animmutable, sequenced record in blocks. The ledger also includes a statedatabase, which maintains a current state of the blockchain. There istypically one ledger per channel. Each peer node maintains a copy of theledger for each channel of which they are a member.

A chain is an entry log structured as hash-linked blocks, and each blockcontains a sequence of N entries where N is equal to or greater thanone. The block header includes a hash of the blocks' entries, as well asa hash of the prior block's header. In this way, all entries on theledger may be sequenced and cryptographically linked together.Accordingly, it is not possible to tamper with the ledger data withoutbreaking the hash links. A hash of a most recently added blockchainblock represents every entry on the chain that has come before it,making it possible to ensure that all peer nodes are in a consistent andtrusted state. The chain may be stored on a peer node file system (i.e.,local, attached storage, cloud, etc.), efficiently supporting theappend-only nature of the blockchain workload.

The current state of the immutable ledger represents the latest valuesfor all keys that are included in the chain entry log. Since the currentstate represents the latest key values known to a channel, it issometimes referred to as a world state. Smart contract executable codeinvocations execute entries against the current state data of theledger. To make these smart contract executable code interactionsefficient, the latest values of the keys may be stored in a statedatabase. The state database may be simply an indexed view into thechain's entry log and can therefore be regenerated from the chain at anytime. The state database may automatically be recovered (or generated ifneeded) upon peer node startup, and before entries are accepted.

A blockchain is different from a traditional database in that theblockchain is not a central storage but rather a decentralized,immutable, and secure storage, where nodes must share in changes torecords in the storage. Some properties that are inherent in blockchainand which help implement the blockchain include, but are not limited to,an immutable ledger, smart contracts, security, privacy,decentralization, consensus, endorsement, accessibility, and the like.

Example embodiments provide a service to a particular vehicle and/or auser profile that is applied to the vehicle. For example, a user may bethe owner of a vehicle or the operator of a vehicle owned by anotherparty. The vehicle may require service at certain intervals and theservice needs may require authorization prior to permitting the servicesto be received. Also, service centers may offer services to vehicles ina nearby area based on the vehicle's current route plan and a relativelevel of service requirements (e.g., immediate, severe, intermediate,minor, etc.). The vehicle needs may be monitored via one or more vehicleand/or road sensors or cameras, which report sensed data to a centralcontroller computer device in and/or apart from the vehicle. This datais forwarded to a management server for review and action. A sensor maybe located on one or more of the interior of the transport, the exteriorof the transport, on a fixed object apart from the transport, and onanother transport proximate the transport. The sensor may also beassociated with the transport's speed, the transport's braking, thetransport's acceleration, fuel levels, service needs, the gear-shiftingof the transport, the transport's steering, and the like. A sensor, asdescribed herein, may also be a device, such as a wireless device inand/or proximate to the transport. Also, sensor information may be usedto identify whether the vehicle is operating safely and whether anoccupant has engaged in any unexpected vehicle conditions, such asduring a vehicle access and/or utilization period. Vehicle informationcollected before, during and/or after a vehicle's operation may beidentified and stored in a transaction on a shared/distributed ledger,which may be generated and committed to the immutable ledger asdetermined by a permission granting consortium, and thus in a“decentralized” manner, such as via a blockchain membership group.

Each interested party (i.e., owner, user, company, agency, etc.) maywant to limit the exposure of private information, and therefore theblockchain and its immutability can be used to manage permissions foreach particular user vehicle profile. A smart contract may be used toprovide compensation, quantify a user profile score/rating/review, applyvehicle event permissions, determine when service is needed, identify acollision and/or degradation event, identify a safety concern event,identify parties to the event and provide distribution to registeredentities seeking access to such vehicle event data. Also, the resultsmay be identified, and the necessary information can be shared among theregistered companies and/or individuals based on a consensus approachassociated with the blockchain. Such an approach could not beimplemented on a traditional centralized database.

Various driving systems of the instant solution can utilize software, anarray of sensors as well as machine learning functionality, lightdetection and ranging (LIDAR) projectors, radar, ultrasonic sensors,etc. to create a map of terrain and road that a transport can use fornavigation and other purposes. In some embodiments, GPS, maps, cameras,sensors and the like can also be used in autonomous vehicles in place ofLIDAR.

The instant solution includes, in certain embodiments, authorizing avehicle for service via an automated and quick authentication scheme.For example, driving up to a charging station or fuel pump may beperformed by a vehicle operator or an autonomous transport and theauthorization to receive charge or fuel may be performed without anydelays provided the authorization is received by the service and/orcharging station. A vehicle may provide a communication signal thatprovides an identification of a vehicle that has a currently activeprofile linked to an account that is authorized to accept a service,which can be later rectified by compensation. Additional measures may beused to provide further authentication, such as another identifier maybe sent from the user's device wirelessly to the service center toreplace or supplement the first authorization effort between thetransport and the service center with an additional authorizationeffort.

Data shared and received may be stored in a database, which maintainsdata in one single database (e.g., database server) and generally at oneparticular location. This location is often a central computer, forexample, a desktop central processing unit (CPU), a server CPU, or amainframe computer. Information stored on a centralized database istypically accessible from multiple different points. A centralizeddatabase is easy to manage, maintain, and control, especially forpurposes of security because of its single location. Within acentralized database, data redundancy is minimized as a single storingplace of all data also implies that a given set of data only has oneprimary record. A blockchain may be used for storing transport-relateddata and transactions.

In one embodiment, data obtained from a transport and/or related to thetransport are referred to herein as a Dynamic Performance Level (DPL)and/or a value(s). The data may originate from one or more of:determining vehicle damage and health information of a vehicle,determining a harsh event score based on a ratio of number of detectedharsh events to a distance driven by an operator, driving behavior data,including miles driven, average speed, vehicle collision speed,information regarding safety and service history, and the like.

This data and information can be provided by one or more sensors whichmay be connected to a CAN bus. For example, a vehicle camera may becapable of capturing images of portions of the vehicle that may be usedto determine whether there is damage to that portion of the vehicle, forexample, by comparing the image to the vehicle at a previous time or toa stock set of images of vehicles without damage. In one embodiment, thetransport (such as via a processor in the transport, otherwise referredto as a transport computer) is connected to an external server, througha network such as the Internet where such data may be obtained orstored.

Additionally, sensor data from the vehicle (for example, from bothcritical and/or non-critical ECUs of the transport), signals fromvibration sensors, monitoring of electrical power signals, or the like,may be used to determine whether a vehicle component is operating withinspecification, requires maintenance, or is about to fail. In oneembodiment, this sensor data may be used to provide a health score forthe vehicle. Similarly, sensors on the interior or exterior of thetransport may be used to determine whether a user of the vehicle(through a driving and/or a non-driving action) caused damage to thevehicle or caused the state of health of the vehicle to decrease.

In one embodiment, detected harsh events are events that exceed ag-force threshold. A penalty score for an operator/driver is determined,by a server and/or a transport, by adding a harsh event score to a sumof event scores. The penalty score for each harsh event is based on apenalty factor associated with the detected harsh events to the distancedriven during a period of time. The penalty score is determined relativeto one or more of a previous score of the operator and to other driversin order to improve driving behavior.

In one embodiment, a linear regression model can be used to score one ormore trips of a given operator/driver based on actions such asacceleration, braking, cornering, etc. behaviors of the driver. G-forcethresholds associated with respective severities (e.g., low, medium, andhigh) of a harsh event are based on statistical computations performedon longitudinal and lateral g-force distributions of historical drivingdata (which may be anonymized). An individual score for any given metric(e.g., acceleration/braking/cornering) of a trip is determined using thefollowing equation:

${{Metric}\mspace{14mu}{Score}} = {100 - {\frac{\frac{{Number}\mspace{14mu}{of}\mspace{14mu}{Harsh}\mspace{14mu}{Metric}\mspace{14mu}{Events}}{{Number}\mspace{14mu}{of}\mspace{11mu}\text{?}}}{{Metric}\mspace{14mu}{Score}\mspace{14mu}{Parameter}}*100} - {\sum{\forall{{Events}\frac{100*{Penalty}\mspace{14mu}{factor}}{\begin{matrix}{{Number}\mspace{14mu}{of}\mspace{14mu}{Miles}\mspace{14mu}{{Driven} \cdot}} \\{{Metric}\mspace{14mu}{Score}\mspace{14mu}{Parameter}}\end{matrix}}}}}}$ ?indicates text missing or illegible when filed

In an embodiment, a metric score parameter of the equation takes theform of a bottom third percentile of (#of harsh metric events)/(#ofmiles driven) determined based on the historical anonymized drivingdata. In another embodiment, the penalty factor for low, medium, andhigh severity events is 0, 1, and 2, respectively. In an embodiment, thescores for all drivers of a selected vehicle may be recorded over aperiod of ownership for a cumulative score of all driver behavior forthat vehicle. In one embodiment, driving behavior data includes milesdriven, average speed, vehicle collision speed. In one embodiment,information regarding safety recalls include manufacturer recalls,safety equipment installation and status (airbag deployments). Servicehistory includes records of service activity and dates for suchmaintenance activities.

The action of utilizing one or more of the information described hereinprovides a detailed history of the vehicle. It includes component sensordata and vehicle health (such as via a CAN bus) in addition tooperator/driver use/behavior data to determine an overall vehicle score(DPL). A DPL score may be increased based on actions such as properdriving, scheduled transport maintenance, occupant conduct, etc.

Any of the actions described herein may be performed by one or moreprocessors (such as a microprocessor, a sensor, ECU, a head unit,camera, and the like) which may be located on-board or off-board thetransport. The one or more processors may communicate with otherprocessors on-board or off-board other transports to utilize data beingsent by the transport. The one or more processors and the otherprocessors can send data, receive data, and utilize this data toperform, in conjunction with one or more memories, one or more of theactions described or depicted herein.

If the DPL score is low (for example, lower than a fixed or dynamicthreshold), the system can provide actions that the transport can takein order to improve the score. These actions, which the system hasdetermined will improve one or more dispositions of the transport, canbe monitored by the system to notify the transport and/or driver ofprogress related to one or more of a performance of the transport, anoperation behavior, upkeep, etc. Further, the system can providegranular actions that can be taken in each of these areas. For example,the condition of the transport can consist of, one or more of adetermination of vehicle damage and health information of a vehicle,determining a harsh event score based on a ratio of number of detectedharsh events to a distance driven by an operator, the efficiency inwhich the transport is operating including an assessment of miles/gallonor kW/mile, measures of acceleration, deceleration, cornering speed,etc. The operation behavior can consist of a manner in which thetransport is driven including measures of average speed, high speed,braking, speeding, swerving, etc. Upkeep can consist of measures relatedto scheduled maintenance, system and diagnostic checks, tire pressure,etc.

In one embodiment, an owner or a transport (if semi or fully autonomous)can notify the server of an action to be taken such selling, trading-in,or otherwise disposing of the transport. The system can utilize the datadescribed herein to provide a DPL and/or a value of the transport and ifacceptable the action can be initiated. If unacceptable, the systemand/or the transport can provide the most optimal/timely/efficientactions that can be taken/avoided to increase the value of thetransport.

In one embodiment, the system notifies the transport of certain items tofix/address that will increase the value of the transport based oncurrent sales, historical sales, requested features, current trends,etc. The system obtains this information by querying other processors orcomputers such as servers, other transports, etc. Based on a particulardisposition of the transport, the server can provide granular actionsthat can be taken by the transport and/or on behalf of the transport toincrease the value.

In another embodiment, the system can inform the owner of actions thatmay be taken to raise the value of the transport (at end of lease, forexample), such as perform a service, upgrade parts of the car, etc. Thetrample communicates with a server through network to query the actions,wherein the response to the query is presented to the user, such as viathe response text displayed on a display associated with the transport.The top actions that the user can take to boost the DPL and/or the valueof the transport, and an estimated, corresponding result for performingthose actions are provided by the server to the transport.

FIG. 1A illustrates a process 100 containing a Dynamic Performance Level(DPL) of a transport 104, according to example embodiments. The DPL 102is derived from a number of areas and may pertain to the current use 105of the transport 104 and/or a historical use of the transport. One ofthe areas is based on performance 106, that utilizes data from sensorsaffixed to and/or in proximity to the transport, such as cameras, thatare capable of detecting damage or health conditions of a transport 104.A next area is the determining of any harsh event score based on a ratioof number of detected harsh events to a distance driven by an operatorand driving behavior data, including miles driven, average speed,transport collision speed 107. A harsh event score may be determined bya processor associated with the transport, such as a transport computer,wherein sensors associated with the transport send data to the transportcomputer, wherein a harsh event score is determined. The sensors maycontain elements that are able to determine movement, change in motion,the rate of change of motion, and the like. A next area includesinformation regarding safety history and service history 108. Thetransport, such as via a transport computer, interacts with serversoutside of the transport, such as via a network to obtain data about asafety history and a service history of the transport. Other elements,109 may be used to determine the DPL, which may or may not be describedherein. The determination of the DPL may either be static or dynamic. Ina dynamic determination of the DPL, a current use 105 of the transport104 is determined at different points in time, wherein the DPL isupdated 103 with the new data.

FIG. 1B illustrates a flowchart to determine a next use of a transport110, according to example embodiments. Based on a term 112 of thetransport, as known and stored by the server and/or the transport,certain actions may be taken. The term may relate to a timeframeassociated with a disposition of the transport including a time before alease agreement ends, a trade-in is to occur, a sale is to commence,etc. A next use 114 of the transport is determined, using a DynamicPerformance Level (DPL) 102 and/or a value associated with the DPL, andone or more of a current condition of the transport, a desirability ofthe transport, a location of the transport, characteristics of thetransport (for example, make, model, year, color, trim, installedoptions, aftermarket options, etc.), etc. The determined next use 114may include the transport being placed into another leasing program,such as with the current lessee or another lessee 115, the transportbeing placed into a ride-share program 116, the transport being sold (aseither a certified transport or a non-certified transport) 117, or otheractions 118 such as the transport being traded-in, exchanged, and thelike.

In one embodiment, a tiered next use for the transport may bedetermined. For example, the server may determine, based on the largestreturn/value improvement, to place the transport into a leasing programfor one year and then into a ride-share program for two years dependingon the age/condition of the transport. Between these timeframes, whilethe transport is being leased but before it is placed into a ride-shareprogram, the server/transport can provide notifications to thetransport/owner regarding actions to take to entice the owner to deliverthe transport with an appropriate DPL for utilization in the ride-shareprogram. The enticements may include the server/transport offering theowner a monetary or non-monetary value, such as a consideration topurchase or otherwise gain access to a next transport.

In another embodiment, the server may recommend specific actions thatshould or should not occur to ensure the largest return/value based onan intended disposition of the transport. In one embodiment, anarbitrage can occur by providing advantageous offers (e.g. providing alower lease rate than typically available) in return for adherence to aDPL and/or a value associated therewith by an owner/driver (e.g.ensuring adherence to a certain number of miles is not exceed during atimeframe). In further embodiments, the server/transport, based on anadherence to a DPL and/or a value associated therewith, may specifyterms for an initial sale of the transport based on a potential buy-backof the transport (e.g. a dealer buying back a transport that is about tobe sold).

FIG. 1C illustrates an example system diagram, 120, according to exampleembodiments. In this example, three transports 122, 123, and 124 maycommunicate with one another and a server 128 via wireless protocol(s)directly and/or via a network 126. In one embodiment, one transport's122 DPL can be provided to another transport 123 in a more directconnection, or with transport 124, such as via the network 126. In thisexample, the transports are in a similar physical area or proximate oneanother. One or more of the transports 122, 123, 124, and/or the server128, can determine if the transports 122, 123, 124 are similar in anumber of ways based on transport-specific attributes, such as make,model, year, total miles driven, average miles driven, etc. This may bedetermined via the transport/system/server obtaining information fromthe transport wherein data is sent via wireless protocol(s) and/or aserver 128. A determination can also be made if the transports generallyoperate, or are used, in similar area such as in a particular city or apart of the city. One or more of the transports, and/or the system, canreceive the DPL of each similar transport, can derive a value of thetransports based on the DPL and can compare the values of each of thetransports. Since these transports are similar in terms oftransport-specific attributes and area of use, the factors of what makesone more valuable than the other can be compared and shared. Thisinformation can be used by the transport with a lower score to improvetheir DPL by focusing on the lowest scoring attributes (such asperformance, operation behavior, upkeep, etc.). The reasons theattributes of the higher scoring transport are at a particular level canbe provided to the lower scoring transport and can be used to modify thecurrent and future use of the lower scoring transport. For example, anaverage speed, a speed in specific areas, braking data, a driving mode(eco, sport, etc.), steering data, maintenance data, etc. of the highervalue transport can be analyzed and provided to the lower valuetransport in order to entice behavioral change which will lead to asafer driving experience for the lower value transport as well as allproximate transports and will lead to an increase in value for the lowervalue transport when the transport is to be traded-in, sold or otherwisedisposed of.

In another embodiment, data related to a performance of a transport, anoperation behavior of the transport, and an upkeep of the transport isreceived by a server. The server determines a performance level of thetransport based on the obtained data. the performance level isdynamically revised based on a current use of the transport. The serverdetermines a next use of the transport, based on the dynamically revisedperformance level.

FIG. 1D illustrates a transport/vehicle report 130, according to exampleembodiments. The report comprises one or more elements that are used indetermining the DPL and/or a value associated therewith. The report 130contains a vehicle history section 131, a vehicle driving behaviorsection 132, and a safety section 133. The vehicle history sectioncontains details of the make, model, trim, VIN, colors, date ofmanufacture, and links to a warranty, a transferable warranty, a windowsticker, a title history, and safety features 135. Also contained in thevehicle history section are a number of previous owners 136, an odometerreading 137, a number of collisions 138, a number of open recalls 139, anumber of driving notices 140, and a number of service issues 141. Thevehicle driving behavior section 132 contains a harsh driving score 142,consisting of, for example, a harsh braking 98% (which is much less thancomparable vehicles), a harsh cornering 32% (more aggressive thancomparable vehicles), and a harsh acceleration 58% (more aggressive thancomparable vehicles), a mileage score 143 consisting of, for example, anaverage of 2150 miles/year (slightly higher than average drivers), and aodometer 8419 miles (taken on Jul. 2, 2020), and an average speed 144consisting of, for example, an average of 57 miles/hour (indicating amajority of highway driving). The safety section 133 contains a perowner reporting of manufacture recalls 145 (for example, no open recallsreported), a per owner reporting of safety equipment 146 (for example,safety equipment installment reported on: Sep. 7, 2020), and a per ownerreporting of airbag deployment 147 (for example, an airbag deploymentreported on Sep. 4, 2020). The report also contains a heading area 134,containing the year, make model, trim, VIN, and color of the vehicle inthe report.

FIG. 1E illustrates another vehicle history report 150, according toexample embodiments. The report contains and existing service warningssection 151 and a service history section 152. The existing servicewarnings 151 contain a list of all service warnings currently on thevehicle and may include one or more of an anti-lock braking systemwarning 153, an engine oil warning 156, a low tire pressure warning,159, a battery warning 154, a secondary collision brake system warning157, a brake system warning, 160, a service engine soon warning 155, afront airbag warning 158, and a windshield washer & wiper warning 161.The service history section 152 contains a table with a heading area 162containing the owner number of the service history, the date purchased,and a vehicle type. The table contains per-owner entries of serviceitems, for example owner 2 of the vehicle. A year column 163 containsthe year of each of the rows. A date column 164 contains a date for eachof the rows. A mileage column 165 contains the mileage of each of therows. A dealer column 166 contains a dealer detail for each of the rows,a Diagnostic Trouble Code (DTC) column 167 contains a description of theservice for each of the rows, and a comment column 168 contains commentsfor each of the rows.

For example, for the year 2020, there were three entries in the servicehistory section 152. The third entry on Feb. 6, 2020 and related to anodometer reading of 8,419 miles and a dealer (South Bay Toyota GardenaCalif. 310-323-7800 southbaytoyota.com), performed an oil and filterchange. The second was dated Feb. 4, 2020 and related to an odometerreading of 8400 miles and a dealer (Financial Company) indicated thelease vehicle was returned. A first entry was dated Jan. 1, 2020 andrelated to an odometer reading of 8127 miles and a dealer (CaliforniaDamage Report) indicated an accident was reported with an airbagdeployed. Details of the accident contain damage reported afteraccident, an airbag was deployed, and structural damage reported, damageto left side of quarter post. A picture of a vehicle is included withthe damage area shaded in. There is one entry for the year 2019, datedMay 20, 2019 and related to an odometer reading of 5690 miles and adealer (South Bay Toyota) performed an oil and filter replacement, a5000 mile service, the floor mats checked, and the tire condition andpressure was validated. There is one entry for the year 2018 dated Nov.8, 2018 and related to an odometer reading of 3246 miles and a dealer(South Bay Toyota) performed an oil and filter replacement, and areplacement of the battery.

FIG. 1F illustrates yet another vehicle history report 170, according toexample embodiments. A service table is shown including a heading area171 containing the owner of the service history, the date purchased, anda vehicle type. The table contains per-owner entries of service items,for example owner 1 of the vehicle. A year column 172 contains the yearof each of the rows. A date column 173 contains a date for each of therows. A mileage column 174 contains the mileage of each of the rows. Adealer column 175 contains a dealer detail for each of the rows, a DTCcolumn 176 contains a description of the service for each of the rows,and a comment column 177 contains comments for each of the rows.

For example, there is one service entry for the year 2018. The serviceis dated Apr. 23, 2018 with an odometer reading of 1825 miles from theSouth Bay Toyota dealer where the vehicle service included an oil andfilter replacement, an air filter replacement, and an exterior lightbulb(s) replacement. There are 4 service entries for the year 2017. Thefourth service is dated Nov. 27, 2017 with an odometer reading of 845miles from the South Bay Toyota dealer where an oil and filterreplacement, and antifreeze/coolant flush and front wiper blades werereplaced. A third service occurred on Jun. 20, 2017 by the CaliforniaMotor Vehicles Department where the title was issued or updated, and theoil and filter was changed. A second service occurred on Jun. 7, 2017when the odometer reading of 57 miles and the South Bay Toyota dealerwith the service being the vehicle was sold. A first occurred on Jun. 2,2017 with the dealer NICB with the service being the vehicle wasmanufactured and shipped to an original dealer.

The reports 130, 150, and 170 can be assembled, by the server, forexample, as a single report, or can be assembled as two reports.Further, any of the data 131-147, 151-168, and 171-177 can be assembledinto one or more reports. These reports can be provided to one or moreof the transport(s), a third-party entity (such as a vehiclemanufacturer, parts manufacturer, dealer, reseller, ride-sharing entity,salvage entity, an individual, etc.), another server, and/or to anyperson or entity with access to a device capable of receiving anddisplaying these report(s). In one embodiment, one or more of the data131-147, 151-168, and 171-177 can be assembled and/or provided in anyformat and not necessarily in the format depicted and/or describedherein. For example, one or more of the data 131-147, 151-168, and171-177 may be provided visually, audibly, textually, in a multimediaformat, via video, and the like, and may be provided to one or moretransports and/or a personal driver's device (such as a cell phone,wearable device, etc.) while the transport is being driven by the driveror occupied by an occupant. In such a situation, the server may receiveinformation about the transport as it is being driven (or as thetransport is fully or partially driving itself) and provide feedback foraltering one or more transport or driver's behaviors in order toincrease DPL and/or a value associated therewith. For example, theserver may determine (or be notified of) the transport's harsh drivinglevel/score 142 is increasing. This determination or notification may bebased on one or more instances related to harsh braking, harshcornering, harsh acceleration, as well as other factors (not depicted)such as swerving, fishtailing, tailgating, etc. The server may thenprovide information related to one or more of these instances, monitorany improvement and/or degradation, and provide feedback intermittinglyand/or when the harsh driving improves to an acceptable level/score.

FIG. 1G illustrates a flowchart 180, according to example embodiments.In one embodiment, the system can determine a disposition or a preferrednext use of a transport. For example, the system can utilize differentattributes of the transport to make such a determination. In oneembodiment, the system determines transports that qualify for thepreferred next use 182 based on the following attributes: a termduration 1821 (for example, a date when a lease agreement ends, a datewhen a final loan payment is made, etc.), a current condition of thetransport 1822, and an acceptability threshold 1823 (for example,metrics that measure a potential to maintain or increase the currentcondition within the duration). Transports that are within the termduration 1821 (such as 6 months from an end of a lease) are notified bythe system. In another embodiment, transports may notify the system oftheir desire to quality and the system, based on various characteristicsand attributes of the transport can make a qualifying determination.

The system further determines the characteristics and attributes of atransport that provide the greatest value which informs the system ofthe preferred next use including re-leasing the transport, placing thetransport into a ride-share program, selling the transport, as well asother uses such as exchanging the transport, etc. In one embodiment, thesystem provides notifications to the transport and/or a deviceassociated with an owner, operator, and/or occupant of the transportthat provide actions that can be taken that will increase the value ofthe transport by the time the term is completed 1821. The system alsodetermines a current condition of the transport 1822. This is determinedby one or more of a performance of the transport, an operationalbehavior of the transport, and an upkeep of the transport, as furtherdepicted herein. An acceptability of the transport is determined 1823 bydetermining if the transport is one or more of at or above a level ofacceptability and below a level of acceptability. For example, if thetransport is currently in excellent condition, and is being driven in anexceptional manner, it would be useful to send a notification to thetransport indicating results of the determination/analysis and whatactions, if any, that should be taken to maintain and/or increase thevalue of the transport prior to the end of the term. If the transport isbelow an acceptability threshold, then it would not be beneficial toinform the transport as the condition and/or performance of thetransport is below an acceptable level. For example, the condition ofthe transport is such that no action or series of actions would raisethe value enough to warrant a notification by the system. However, thesystem can advantageously use this information in the event thetransport was presented as part of a potential transaction (for example,for a trade-in).

The system determines data to maximize the value of the transport 183based on a number of miles driven 1831 (for example, a current odometerreading is obtained by the system), a non-use of the transport 1832 (forexample, to maintain or increase the value, the system send anotification suggesting a lower use or a non-use of the transport for aperiod of time) and a driving manner of the transport 1833. In oneembodiment, if a non-use of the transport is suggested, the system mayprovide alternate transportation capability by utilizing a transportmore suitable for such an action (for example, a dealer may provide aloaner transport or ride-share transport in lieu of the target transportbeing driven).

The system can inform 184 transport operators (as well as owners,occupants, etc.) of the data and if the operators are interested inadhering to recommendations provided by the system, the system continuesto monitor related thresholds 186 in order to determine an optimal nextuse of the transport 188.

FIG. 2A illustrates a transport network diagram 200, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. Although depicted as single transportnodes and processors, a plurality of transport nodes and processors maybe present. One or more of the applications, features, steps, solutions,etc., described and/or depicted herein may be utilized and/or providedby the instant elements.

FIG. 2B illustrates another transport network diagram 210, according toexample embodiments. The network comprises elements including atransport node 202 including a processor 204, as well as a transportnode 202′ including a processor 204′. The transport nodes 202, 202′communicate with one another via the processors 204, 204′, as well asother elements (not shown) including transceivers, transmitters,receivers, storage, sensors and other elements capable of providingcommunication. The communication between the transport nodes 202, 202′can occur directly, via a private and/or a public network (not shown) orvia other transport nodes and elements comprising one or more of aprocessor, memory, and software. The processors 204, 204′ can furthercommunicate with one or more elements 230 including sensor 212, wireddevice 214, wireless device 216, database 218, mobile phone 220,transport node 222, computer 224, I/O device 226 and voice application228. The processors 204, 204′ can further communicate with elementscomprising one or more of a processor, memory, and software.

Although depicted as single transport nodes, processors and elements, aplurality of transport nodes, processors and elements may be present.Information or communication can occur to and/or from any of theprocessors 204, 204′ and elements 230. For example, the mobile phone 220may provide information to the processor 204, which may initiate thetransport node 202 to take an action, may further provide theinformation or additional information to the processor 204′, which mayinitiate the transport node 202′ to take an action, may further providethe information or additional information to the mobile phone 220, thetransport node 222, and/or the computer 224. One or more of theapplications, features, steps, solutions, etc., described and/ordepicted herein may be utilized and/or provided by the instant elements.

FIG. 2C illustrates yet another transport network diagram 240, accordingto example embodiments. The network comprises elements including a node205 including a processor 204 and a non-transitory computer readablemedium 242C. The processor 204 is communicably coupled to the computerreadable medium 242C and elements 230 (which were depicted in FIG. 2B).The node 205 could be a transport, server or any device which includes aprocessor and memory.

The processor 204 performs one or more of obtaining data related to aperformance of the transport 244C, determining a performance level ofthe transport based on the obtained data 246C, dynamically revising theperformance level based on a current use of the transport 248C, anddetermining a next use of the transport, based on the dynamicallyrevised performance level 250C.

FIG. 2D illustrates a further transport network diagram 250, accordingto example embodiments. The network comprises elements including a node205 including a processor 204 and a non-transitory computer readablemedium 242D. The processor 204 is communicably coupled to the computerreadable medium 242D and elements 230 (which were depicted in FIG. 2B).The node 205 could be a transport, server or any device which includes aprocessor and memory.

The processor 204 performs one or more of dynamically revising theperformance level based on a service performed on the transport, whereinthe service performed includes one or more of replacing and upgradingone or more parts on the transport 244D, informing one or more actionsthat can be taken to raise the performance level of the transport,wherein the one or more actions increase a value of the transport 246D,basing the performance level on an assessment of a condition of thetransport, an operation behavior of the transport, and an upkeep of thetransport, while the transport is in use 248D, and the next use includesone or more of placing the transport into a leasing program, placing thetransport into a ride-share program, and selling the transport 250D.

FIG. 2E illustrates yet a further transport network diagram 260,according to example embodiments. Referring to FIG. 2E, the networkdiagram 260 includes a node 205 connected to other transport nodes 202′and to an update server node 203 over a blockchain network 206. Thetransport nodes 202 and 202′ may represent transports/vehicles. Theblockchain network 206 may have a ledger 208 for storing software updatevalidation data and a source of the validation for future use (e.g., foran audit).

While this example describes in detail only one node 205, multiple suchnodes may be connected to the blockchain 206. It should be understoodthat the node 205 may include additional components and that some of thecomponents described herein may be removed and/or modified withoutdeparting from a scope of the instant application. The node 205 may havea computing device or a server computer, or the like, and may include aprocessor 204, which may be a semiconductor-based microprocessor, acentral processing unit (CPU), an application specific integratedcircuit (ASIC), a field-programmable gate array (FPGA), and/or anotherhardware device. Although a single processor 204 is depicted, it shouldbe understood that the node 205 may include multiple processors,multiple cores, or the like, without departing from the scope of theinstant application. The node 205 could be a transport, server or anydevice which includes a processor and memory.

The processor 204 performs one or more of receiving a validation of amodification of the performance level wherein the validation comprises ablockchain consensus between a peer group consisting of the transportand a server 244E, and executing a smart contract to record thevalidation on a blockchain, based on the blockchain consensus 246E

The processors and/or computer readable media 242E may fully orpartially reside in the interior or exterior of the transport nodes. Thesteps or features stored in the computer readable media may be fully orpartially performed by any of the processors and/or elements in anyorder. Additionally, one or more steps or features may be added,omitted, combined, performed at a later time, etc.

FIG. 2F illustrates yet another transport network diagram 261, accordingto example embodiments. The network comprises elements including a node205 including a processor 204 and a non-transitory computer readablemedium 242F. The processor 204 is communicably coupled to the computerreadable medium 242F and elements 230 (which were depicted in FIG. 2B).The node 205 could be a transport, server or any device which includes aprocessor and memory.

The processor 204 performs one or more of receiving characteristicsrelated to a transport within a time period, wherein the characteristicsare related to a condition of the transport, an operation behavior ofthe transport and an upkeep of the transport 244F, providing one or moreactions to perform by the transport to increase a level of thecharacteristics 246F, and responsive to the level of the characteristicsbeing increased, determining a next use of the transport after the timeperiod 248F.

In another embodiment, the server sends a notification to a transportcontaining one or more actions that can raise a value of the transportwithin a time period, verifies the one or more actions are performed onthe transport, and determines a next use of the transport, based on theverifying, at a time past the time period.

FIG. 2G illustrates yet another transport network diagram 262, accordingto example embodiments. The network comprises elements including a node205 including a processor 204 and a non-transitory computer readablemedium 242G. The processor 204 is communicably coupled to the computerreadable medium 242G and elements 230 (which were depicted in FIG. 2B).The node 205 could be a transport, server or any device which includes aprocessor and memory.

The processor 204 performs one or more of selecting the transport beforethe time period based on a term associated with the transport and anacceptability threshold 244G, the one or more actions include amodification to a lower usage of the transport, a modification to adriving manner of the transport and a maintenance of the transport 245G,monitoring the characteristics as the transport is being driven, andproviding to the transport, a characteristic, of the characteristics, ata lowest level 246G, monitoring the characteristics as the transport isbeing driven, and providing to the transport, a characteristic, of thecharacteristics, at a lowest level 247G, receiving a request from thetransport to increase the level of the characteristics, and providingthe one or more actions to perform based on a current use of thetransport 248G, and monitoring the characteristics as the transport isbeing driven, and providing to the transport, a characteristic, of thecharacteristics, at a lowest level 249G. In one embodiment, the term“current use” may mean currently operated by and/or owned by a driverand/or an owner, and the term “next use” may mean a use after a currentperiod (such as a lease) is completed.

FIG. 2H illustrates a diagram 265 depicting electrification of one ormore elements. In one embodiment, a transport 266 may provide powerstored in its batteries to one or more elements including othertransport(s) 268, charging station(s) 270 and electric grid(s) 272. Theelectric grid(s) 272 is/are coupled to one or more of the chargingstations 270 which may be coupled to one or more of the transports 268.This configuration allows distribution of electricity/power receivedfrom the transport 266. The transport 266 may also interact with theother transport(s) 268, such as via Vehicle to Vehicle (V2V) technology,communication over cellular, WiFi, and the like. The transport 266 mayalso interact wirelessly and/or in a wired manner with other transports268, the charging station(s) 270 and/or with the electric grid(s) 272.In one embodiment, the transport 266 is routed (or routes itself) in asafe and efficient manner to the electric grid(s) 272, the chargingstation(s) 270, or the other transport(s) 268. Using one or moreembodiments of the instant solution, the transport 266 can provideenergy to one or more of the elements depicted herein in a variety ofadvantageous ways as described and/or depicted herein. Further, thesafety and efficiency of the transport may be increased, and theenvironment may be positively affected as described and/or depictedherein.

The term ‘energy’ may be used to denote any form of energy received,stored, used, shared and/or lost by the transport(s). The energy may bereferred to in conjunction with a voltage source and/or a current supplyof charge provided from an entity to the transport(s) during acharge/use operation. Energy may also be in the form of fossil fuels(for example, for use with a hybrid transport) or via alternative powersources, including but not limited to lithium based, nickel based,hydrogen fuel cells, atomic/nuclear energy, fusion based energy sources,and energy generated on-the-fly during an energy sharing and/or usageoperation for increasing or decreasing one or more transports energylevels at a given time.

In one embodiment, the charging station 270 manages the amount of energytransferred from the transport 266 such that there is sufficient chargeremaining in the transport 266 to arrive at a destination. In oneembodiment, a wireless connection is used to wirelessly direct an amountof energy transfer between transports 268, wherein the transports mayboth be in motion. In one embodiment, an idle vehicle, such as a vehicle266 (which may be autonomous) is directed to provide an amount of energyto a charging station 270 and return to the original location (forexample, its original location or a different destination). In oneembodiment, a mobile energy storage unit (not shown) is used to collectsurplus energy from at least one other transport 268 and transfer thestored, surplus energy at a charging station 270. In one embodiment,factors determine an amount of energy to transfer to a charging station270, such as distance, time, as well as traffic conditions, roadconditions, environmental/weather conditions, the vehicle's condition(weight, etc.), an occupant(s) schedule while utilizing the vehicle, aprospective occupant(s) schedule waiting for the vehicle, etc. In oneembodiment, the transport(s) 268, the charging station(s) 270 and/or theelectric grid(s) 272 can provide energy to the transport 266.

In one embodiment, the solutions described and depicted herein can beutilized to determine load effects on the transport and/or the system,to provide energy to the transport and/or the system based on futureneeds and/or priorities, and provide intelligence between an apparatuscontaining a module and a vehicle allowing the processor of theapparatus to wirelessly communicate with a vehicle regarding an amountof energy store in a battery on the vehicle. In one embodiment, thesolutions can also be utilized to provide charge to a location from atransport based on factors such as the temperature at the location, thecost of the energy and the power level at the location. In oneembodiment, the solutions can also be utilized to manage an amount ofenergy remaining in a transport after a portion of charge has beentransferred to a charging station. In one embodiment, the solutions canalso be utilized to notify a vehicle to provide an amount of energy frombatteries on the transport wherein the amount of energy to transfer isbased on the distance of the transport to a module to receive theenergy.

In one embodiment, the solutions can also be utilized to use a mobileenergy storage unit that uses a determined path to travel to transportsthat have excess energy and deposit the stored energy into the electricgrid. In one embodiment, the solutions can also be utilized to determinea priority of the transport's determination of the need to provideenergy to grid, and the priority of a current need of the transport,such as the priority of a passenger, or upcoming passenger, or currentcargo, or upcoming cargo. In one embodiment, the solutions can also beutilized to determine that when a vehicle is idle, the vehicle decidesto maneuver to a location to discharge excess energy to the energy grid,then return to the previous location. In one embodiment, the solutionscan also be utilized to determine an amount of energy needed by atransport to provide another transport with needed energy via transportto transport energy transfer based on one or more conditions such asweather, traffic, road conditions, car conditions, and occupants and/orgoods in another transport, and instruct the transport to route toanother transport and provide the energy. In one embodiment, thesolutions can also be utilized to transfer energy from one vehicle inmotion to another vehicle in motion. In one embodiment, the solutionscan also be utilized to retrieve energy by a transport based on anexpended energy by the transport to reach a meeting location withanother transport, provide a service, and an estimated expended energyto return to an original location. In one embodiment, the solutions canalso be utilized to provide a remaining distance needed to a chargingstation, and the charging station to determine an amount of energy to beretrieved from the transport wherein the amount of charge remaining isbased on the remaining distance. In one embodiment, the solutions canalso be utilized to manage a transport that is concurrently charged bymore than one point at the same time, such as both a charging stationvia a wired connection and another transport via a wireless connection.In one embodiment, the solutions can also be utilized to apply apriority to the dispensing of energy to transports wherein a priority isgiven to those transports that will provide a portion of their storedcharge to another entity such as an electric grid, a residence, and thelike. Further, the instant solution as described and depicted withrespect to FIG. 2H can be utilized in this and other networks and/orsystems.

FIG. 2I is a diagram showing interconnections between different elements275. The instant solution may be stored and/or executed entirely orpartially on and/or by one or more computing devices 278′, 279′, 281′,282′, 283′, 284′, 276′, 285′, 287′ and 277′ associated with variousentities, all communicably coupled and in communication with a network286. A database 287 is communicably coupled to the network and allowsfor the storage and retrieval of data. In one embodiment, the databaseis an immutable ledger. One or more of the various entities may be atransport 276, one or more service provider 279, one or more publicbuildings 281, one or more traffic infrastructure 282, one or moreresidential dwellings 283, an electric grid/charging station 284, amicrophone 285, and/or another transport 277. Other entities and/ordevices, such as one or more private users using a smartphone 278, alaptop 280, and/or a wearable device may also interwork with the instantsolution. The smartphone 278, laptop 280, the microphone 285, and otherdevices may be connected to one or more of the connected computingdevices 278′, 279′, 281′, 282′, 283′, 284′, 276′, 285′, 287′, and 277′.The one or more public buildings 281 may include various agencies. Theone or more public buildings 281 may utilize a computing device 281′.The one or more service provider 279 may include a dealership, a towtruck service, a collision center or other repair shop. The one or moreservice provider 279 may utilize a computing apparatus 279′. Thesevarious computer devices may be directly and/or communicably coupled toone another such as via wired networks, wireless networks, blockchainnetworks, and the like. The microphone 285 may be utilized as a virtualassistant, in one embodiment. In one embodiment, the one or more trafficinfrastructure 282 may include one or more traffic signals, one or moresensors including one or more cameras, vehicle speed sensors or trafficsensors, and/or other traffic infrastructure. The one or more trafficinfrastructure 282 may utilize a computing device 282′.

In one embodiment, a transport 277/276 is capable of transporting aperson, an object, a permanently or temporarily affixed apparatus, andthe like. In one embodiment, the transport 277 may communicate withtransport 276 via V2V communication, through the computers associatedwith each transport 276′ and 277′ and may be referred to as a transport,car, vehicle, automobile, and the like. The transport 276/277 may be aself-propelled wheeled conveyance, such as a car, a sports utilityvehicle, a truck, a bus, a van, or other motor or battery-driven or fuelcell-driven transport. For example, transport 276/277 may be an electricvehicle, a hybrid vehicle, a hydrogen fuel cell vehicle, a plug-inhybrid vehicle, or any other type of vehicle that has a fuel cell stack,a motor, and/or a generator. Other examples of vehicles includebicycles, scooters, trains, planes, or boats, and any other form ofconveyance that is capable of transportation. The transport 276/277 maybe semi-autonomous or autonomous. For example, transport 276/277 may beself-maneuvering and navigate without human input. An autonomous vehiclemay have and use one or more sensors and/or a navigation unit to driveautonomously.

In one embodiment, the solutions described and depicted herein can beutilized to determine an access to a transport via consensus ofblockchain. In one embodiment, the solutions can also be utilized toperform profile validation before allowing an occupant to use atransport. In one embodiment, the solutions can also be utilized to havethe transport indicate (visually, but also verbally in anotherembodiment, etc.) on or from the transport for an action the user needsto perform (that could be pre-recorded) and verify that it is thecorrect action. In one embodiment, the solutions can also be utilized toprovide an ability to for a transport to determine, based on the risklevel associated with data and driving environment, how to bifurcate thedata and distribute a portion of the bifurcated data, with a lower risklevel during a safe driving environment, to the occupant, and laterdistributing a remaining portion of the bifurcated data, with a higherrisk level, to the occupant after the occupant has departed thetransport. In one embodiment, the solutions can also be utilized tohandle the transfer of a vehicle across boundaries (such as acountry/state/etc.) through the use of blockchain and/or smart contractsand apply the rules of the new area to the vehicle.

In one embodiment, the solutions can also be utilized to allow atransport to continue to operate outside a boundary when a consensus isreached by the transport based on the operation of the transport andcharacteristics of an occupant of the transport. In one embodiment, thesolutions can also be utilized to analyze the available dataupload/download speed of a transport, size of the file andspeed/direction the transport is traveling, to determine the distanceneeded to complete a data upload/download and assign a secure areaboundary for the data upload/download to be executed. In one embodiment,the solutions can also be utilized to perform a normally dangerousmaneuver in a safe manner, such as when the system determines that anexit is upcoming and when the transport is seemingly not prepared toexit (e.g. in the incorrect lane or traveling at a speed that is notconducive to making the upcoming exit) and instruct the subjecttransport as well as other proximate transports to allow the subjecttransport to exit in a safe manner. In one embodiment, the solutions canalso be utilized to use one or more vehicles to validate diagnostics ofanother transport while both the one or more vehicles and the othertransport are in motion.

In one embodiment, the solutions can also be utilized to detect laneusage at a location and time of day to either inform an occupant of atransport or direct the transport to recommend or not recommend a lanechange. In one embodiment, the solutions can also be utilized toeliminate the need to send information through the mail and the need fora driver/occupant to respond by making a payment through the mail or inperson. In one embodiment, the solutions can also be utilized to providea service to an occupant of a transport, wherein the service provided isbased on a subscription, and wherein the permission is acquired fromother transports connected to the profile of the occupant. In oneembodiment, the solutions can also be utilized to record changes in thecondition of a rented object. In one embodiment, the solutions can alsobe utilized to seek a blockchain consensus from other transports thatare in proximity to a damaged transport. In one embodiment, thesolutions can also be utilized to receive media, from a server such asan insurance entity server, from the transport computer, which may berelated to an accident. The server accesses one or more media files toaccess the damage to the transport and stores the damage assessment ontoa blockchain. In one embodiment, the solutions can also be utilized toobtain a consensus to determine the severity of an event from a numberof devices over various times prior to the event related to a transport.

In one embodiment, the solutions can also be utilized to solve a problemwith a lack of video evidence for transport-related accidents. Thecurrent solution details the querying of media, by the transportinvolved in the accident, related to the accident from other transportsthat may have been proximate to the accident. In one embodiment, thesolutions can also be utilized to utilize transports and other devices(for example, a pedestrian's cell phone, a streetlight camera, etc.) torecord specific portions of a damaged transport.

In one embodiment, the solutions can also be utilized to warn anoccupant when a transport is navigating toward a dangerous area and/orevent, allowing for a transport to notify occupants or a centralcontroller of a potentially dangerous area on or near the currenttransport route. In one embodiment, the solutions can also be utilizedto detect when a transport traveling at a high rate of speed, at leastone other transport is used to assist in slowing down the transport in amanner that minimally affects traffic. In one embodiment, the solutionscan also be utilized to identify a dangerous driving situation wheremedia is captured by the vehicle involved in the dangerous drivingsituation. A geofence is established based on the distance of thedangerous driving situation, and additional media is captured by atleast one other vehicle within the established geofence. In oneembodiment, the solutions can also be utilized to send a notification toone or more occupants of a transport that that transport is approachinga traffic control marking on a road, then if a transport crosses amarking, receiving indications of poor driving from other, nearbytransports. In one embodiment, the solutions can also be utilized tomake a transport partially inoperable by (in certain embodiments),limiting speed, limiting the ability to be near another vehicle,limiting speed to a maximum, and allowing only a given number of milesallowed per time period.

In one embodiment, the solutions can also be utilized to overcome a needfor reliance on software updates to correct issues with a transport whenthe transport is not being operated correctly. Through the observationof other transports on a route, a server will receive data frompotentially multiple other transports observing an unsafe or incorrectoperation of a transport. Through analysis, these observations mayresult in a notification to the transport when the data suggest anunsafe or incorrect operation. In one embodiment, the solutions can alsobe utilized to provide notification between a transport and apotentially dangerous situation involving a person external to thetransport. In one embodiment, the solutions can also be utilized to senddata to a server by devices either associated with an accident with atransport, or devices proximate to the accident. Based on the severityof the accident or near accident, the server notifies the senders of thedata. In one embodiment, the solutions can also be utilized to providerecommendations for operating a transport to either a driver or occupantof a transport based on the analysis of data. In one embodiment, thesolutions can also be utilized to establish a geo-fence associated witha physical structure and determining payment responsibility to thetransport. In one embodiment, the solutions can also be utilized tocoordinate the ability to drop off a vehicle at a location using boththe current state at the location, and a proposed future state usingnavigation destinations of other vehicles. In one embodiment, thesolutions can also be utilized to coordinate the ability toautomatically arrange for the drop off of a vehicle at a location suchas a transport rental entity.

In one embodiment, the solutions can also be utilized to move transportto another location based on a user's event. More particularly, thesystem tracks a user's device, and modifies the transport to be movedproximate to the user upon the conclusion of the original event, or amodified event. In one embodiment, the solutions can also be utilized toallow for the validation of available locations within an area throughthe existing transports within the area. The approximate time when alocation may be vacated is also determined based on verifications fromthe existing transports. In one embodiment, the solutions can also beutilized to move a transport to closer parking spaces as one becomesavailable and the elapsed time since initially parking is less than theaverage time of the event. Furthermore, moving the transport to a finalparking space when the event is completed or according to a location ofa device associated with at least one occupant of the transport. In oneembodiment, the solutions can also be utilized to plan for the parkingprior to the upcoming crowd. The system interacts with the transport tooffer some services at a less than full price and/or guide the transportto alternative parking locations based on a priority of the transport,increasing optimization of the parking situation before arriving.

In one embodiment, the solutions can also be utilized to sell fractionalownership in transports or in determining pricing and availability inride-sharing applications. In one embodiment, the solutions can also beutilized to provide accurate and timely reports of dealership salesactivities well beyond what is currently available. In one embodiment,the solutions can also be utilized to allow a dealership to request anasset over the blockchain. By using the blockchain, a consensus isobtained before any asset is moved. Additionally, the process isautomated, and payment may be initiated over the blockchain. In oneembodiment, the solutions can also be utilized to arrange agreementsthat are made with multiple entities (such as service centers) wherein aconsensus is acquired, and an action performed (such as diagnostics). Inone embodiment, the solutions can also be utilized to associate digitalkeys with multiple users. A first user may be the operator of thetransport, and a second user is the responsible party for the transport.These keys are authorized by a server where the proximity of the keysare validated against the location of a service provider. In oneembodiment, the solutions can also be utilized to determine a neededservice on a transport destination. One or more service locations arelocated that are able to provide the needed service that is both withinan area on route to the destination and has availability to perform theservice. The navigation of the transport is updated with the determinedservice location. A smart contract is identified that contains acompensation value for the service, and a blockchain transaction isstored in a distributed ledger for the transaction.

In one embodiment, the solutions can also be utilized to interfacing aservice provider transport with a profile of an occupant of a transportto determine services and goods which may be of interest to occupants ina transport. These services and goods are determined by an occupant'shistory and/or preferences. The transport then receives offers from theservice provider transport and, in another embodiment, meets thetransport to provide the service/good. In one embodiment, the solutionscan also be utilized to detect a transport within a range and send aservice offer to the transport (such as a maintenance offer, a productoffer, or the like). An agreement is made between the system and thetransport, and a service provider is selected by the system to providethe agreement. In one embodiment, the solutions can also be utilized toassign one or more transports as a roadway manager, where the roadwaymanager assists in the control of traffic. The roadway manager maygenerate a roadway indicator (such as lights, displays, sounds) toassist in the flow of traffic. In one embodiment, the solutions can alsobe utilized to alert a driver of a transport by a device, wherein thedevice may be the traffic light or near an intersection. The alert issent upon an event, such as when a light turns green and the transportin the front of a list of transports does not move.

FIG. 2J is another block diagram showing interconnections betweendifferent elements in one example 290. A transport 276 is presented andincludes ECUs 295, 296, and a Head Unit (otherwise known as anInfotainment System) 297. An Electrical Control Unit (ECU) is anembedded system in automotive electronics controlling one or more of theelectrical systems or subsystems in a transport. ECUs may include butare not limited to the management of a transport's engine, brake system,gearbox system, door locks, dashboard, airbag system, infotainmentsystem, electronic differential, and active suspension. ECUs areconnected to the transport's Controller Area Network (CAN) bus 294. TheECUs may also communicate with a transport computer 298 via the CAN bus294. The transport's processors/sensors (such as the transport computer)298 can communicate with external elements, such as a server 293 via anetwork 292 (such as the Internet). Each ECU 295, 296 and Head Unit 297may contain its own security policy. The security policy definespermissible processes that are able to be executed in the propercontext. In one embodiment, the security policy may be partially orentirely provided in the transport computer 298.

ECUs 295, 296 and Head Unit 297 may each include a custom securityfunctionality element 299 defining authorized processes and contextswithin which those processes are permitted to run. Context-basedauthorization to determine validity if a process is able to be executedallows ECUs to maintain secure operation and prevent unauthorized accessfrom elements such as the transport's Controller Area Network (CAN Bus).When an ECU encounters a process that is unauthorized, that ECU canblock the process from operating. Automotive ECUs can use differentcontexts to determine whether a process is operating within itspermitted bounds, such as proximity contexts such as nearby objects,distance to approaching objects, speed, and trajectory relative to othermoving objects, operational contexts such as an indication of whetherthe transport is moving or parked, the transport's current speed, thetransmission state, user-related contexts such as devices connected tothe transport via wireless protocols, use of the infotainment, cruisecontrol, parking assist, driving assist, location-based contexts, and/orother contexts.

In one embodiment, the solutions described and depicted herein can beutilized to make a transport partially inoperable by (in certainembodiments), limiting speed, limiting the ability to be near anothervehicle, limiting speed to a maximum, and allowing only a given numbersof miles allowed per time period. In one embodiment, the solutions canalso be utilized to use a blockchain to facilitate exchange of vehiclepossession wherein data is sent to a server by devices either associatedwith an accident with a transport, or devices proximate to the accident.Based on the severity of the accident or near accident, the servernotifies the senders of the data. In one embodiment, the solutions canalso be utilized to help the transport to avoid accidents, such as whenthe transport is involved in an accident by a server that queries othertransports that are proximate to the accident. The server seeks toobtain data from the other transports, allowing the server to gain anunderstanding of the nature of the accident from multiple vantagepoints. In one embodiment, the solutions can also be utilized todetermine that sounds from a transport are atypical and transmit datarelated to the sounds as well as a possible source location to a serverwherein the server can determine possible causes and avoid a potentiallydangerous situation. In one embodiment, the solutions can also beutilized to establish a location boundary via the system when atransport is involved in an accident. This boundary is based on decibelsassociated with the accident. Multimedia content for a device within theboundary is obtained to assist in further understanding the scenario ofthe accident. In one embodiment, the solutions can also be utilized toassociate a vehicle with an accident, then capture media obtained bydevices proximate to the location of the accident. The captured media issaved as a media segment. The media segment is sent to another computingdevice which builds a sound profile of the accident. This sound profilewill assist in understanding more details surrounding the accident.

In one embodiment, the solutions can also be utilized to utilize sensorsto record audio, video, motion, etc. to record an area where a potentialevent has occurred, such as if a transport comes in contact or may comein contact with another transport (while moving or parked), the systemcaptures data from the sensors which may reside on one or more of thetransports and/or on fixed or mobile objects. In one embodiment, thesolutions can also be utilized to determine that a transport has beendamaged by using sensor data to identify a new condition of thetransport during a transport event and comparing the condition to atransport condition profile, making it possible to safely and securelycapture critical data from a transport that is about to be engaged in adetrimental event.

In one embodiment, the solutions can also be utilized to warn occupantsof a transport when the transport, via one or more sensors, hasdetermined that it is approaching or going down a one-way road theincorrect way. The transport has sensors/cameras/maps interacting withthe system of the current solution. The system knows the geographiclocation of one-way streets. The system may audibly inform theoccupants, “Approaching a one-way street”, for example. In oneembodiment, the solutions can also be utilized to allow the transport toget paid allowing autonomous vehicle owners to monetize the data theirvehicle sensors collect and store creating an incentive for vehicleowners to share their data and provide entities with additional datathrough which to improve the performance of future vehicles, provideservices to the vehicle owners, etc.

In one embodiment, the solutions can also be utilized to either increaseor decrease a vehicle's features according to the action of the vehicleover a period of time. In one embodiment, the solutions can also beutilized to assign a fractional ownership to a transport. Sensor datarelated to one or more transports and a device proximate to thetransport are used to determine a condition of the transport. Thefractional ownership of the transport is determined based on thecondition and a new responsibility of the transport is provided. In oneembodiment, the solutions can also be utilized to provide data to areplacement/upfitting component, wherein the data attempts to subvert anauthorized functionality of the replacement/upfitting component, andresponsive to a non-subversion of the authorized functionality,permitting, by the component, use of the authorized functionality of thereplacement/upfitting component.

In one embodiment, the solutions can also be utilized to provideindividuals the ability to ensure that an occupant should be in atransport and for that occupant to reach a particular destination.Further, the system ensures a driver (if a non-autonomous transport)and/or other occupants are authorized to interact with the occupant.Also, pickups, drop-offs and location are noted. All of the above arestored in an immutable fashion on a blockchain. In one embodiment, thesolutions can also be utilized to determine characteristics of a drivervia an analysis of driving style and other elements to take action inthe event that the driver is not driving in a normal manner, such as amanner in which the driver has previously driven in a particularcondition, for example during the day, at night, in the rain, in thesnow, etc. Further, the attributes of the transport are also taken intoaccount. Attributes consist of weather, whether the headlights are on,whether navigation is being used, a HUD is being used, volume of mediabeing played, etc. In one embodiment, the solutions can also be utilizedto notify occupants in a transport of a dangerous situation when itemsinside the transport signify that the occupants may not be aware of thedangerous situation.

In one embodiment, the solutions can also be utilized to mountcalibration devices on a rig that is fixed to a vehicle wherein thevarious sensors on the transport are able to automatically self-adjustbased on what should be detected by the calibration devices as comparedto what is actually detected. In one embodiment, the solutions can alsobe utilized to use a blockchain to require consensus from a plurality ofservice centers when a transport needing service sends malfunctioninformation allowing remote diagnostic functionality wherein a consensusis required from other service centers on what a severity threshold isfor the data. Once the consensus is received, the service center maysend the malfunction security level to the blockchain to be stored. Inone embodiment, the solutions can also be utilized to determine adifference in sensor data external to the transport and the transport'sown sensor data. The transport requests, from a server, a software torectify the issue. In one embodiment, the solutions can also be utilizedto allow for the messaging of transports that are either nearby, or inthe area, when an event occurs (e.g. a collision).

Referring to FIG. 2K, an operating environment 290A for a connectedtransport is illustrated according to some embodiments. As depicted, thetransport 276 includes a Controller Area Network (CAN) bus 291Aconnecting elements 292A-299A of the transport. Other elements may beconnected to the CAN bus and are not depicted herein. The depictedelements connected to the CAN bus include a sensor set 292A, ElectronicControl Units 293A, autonomous features or Advanced Driver AssistanceSystems (ADAS) 294A, and the navigation system 295A. In someembodiments, the transport 276 includes a processor 296A, a memory 297A,a communication unit 298A, and an electronic display 299A.

The processor 296A includes an arithmetic logic unit, a microprocessor,a general-purpose controller, and/or a similar processor array toperform computations and provide electronic display signals to a displayunit 299A. The processor 296A processes data signals and may includevarious computing architectures including a complex instruction setcomputer (CISC) architecture, a reduced instruction set computer (RISC)architecture, or an architecture implementing a combination ofinstruction sets. The transport 276 may include one or more processors296A. Other processors, operating systems, sensors, displays, andphysical configurations that are communicably coupled to one another(not depicted) may be used with the instant solution.

Memory 297A is a non-transitory memory storing instructions or data thatmay be accessed and executed by the processor 296A. The instructionsand/or data may include code to perform the techniques described herein.The memory 297A may be a dynamic random-access memory (DRAM) device, astatic random-access memory (SRAM) device, flash memory, or some othermemory device. In some embodiments, the memory 297A also may includenon-volatile memory or a similar permanent storage device and mediawhich may include a hard disk drive, a floppy disk drive, a CD-ROMdevice, a DVD-ROM device, a DVD-RAM device, a DVD-RW device, a flashmemory device, or some other mass storage device for storing informationon a permanent basis. A portion of the memory 297A may be reserved foruse as a buffer or virtual random-access memory (virtual RAM). Thetransport 276 may include one or more memories 297A without deviatingfrom the current solution.

The memory 297A of the transport 276 may store one or more of thefollowing types of data: navigation route data 295A, and autonomousfeatures data 294A. In some embodiments, the memory 297A stores datathat may be necessary for the navigation application 295A to provide thefunctions.

The navigation system 295A may describe at least one navigation routeincluding a start point and an endpoint. In some embodiments, thenavigation system 295A of the transport 276 receives a request from auser for navigation routes wherein the request includes a starting pointand an ending point. The navigation system 295A may query a real-timedata server 293 (via a network 292), such as a server that providesdriving directions, for navigation route data corresponding tonavigation routes including the start point and the endpoint. Thereal-time data server 293 transmits the navigation route data to thetransport 276 via a wireless network 292 and the communication system298A stores the navigation data 295A in the memory 297A of the transport276.

The ECU 293A controls the operation of many of the systems of thetransport 276, including the ADAS systems 294A. The ECU 293A may,responsive to instructions received from the navigation system 295A,deactivate any unsafe and/or unselected autonomous features for theduration of a journey controlled by the ADAS systems 294A. In this way,the navigation system 295A may control whether ADAS systems 294A areactivated or enabled so that they may be activated for a givennavigation route.

The sensor set 292A may include any sensors in the transport 276generating sensor data. For example, the sensor set 292A may includeshort-range sensors and long-range sensors. In some embodiments, thesensor set 292A of the transport 276 may include one or more of thefollowing vehicle sensors: a camera, a LIDAR sensor, an ultrasonicsensor, an automobile engine sensor, a radar sensor, a laser altimeter,a manifold absolute pressure sensor, an infrared detector, a motiondetector, a thermostat, a sound detector, a carbon monoxide sensor, acarbon dioxide sensor, an oxygen sensor, a mass airflow sensor, anengine coolant temperature sensor, a throttle position sensor, acrankshaft position sensor, a valve timer, an air-fuel ratio meter, ablind spot meter, a curb feeler, a defect detector, a Hall effectsensor, a parking sensor, a radar gun, a speedometer, a speed sensor, atire-pressure monitoring sensor, a torque sensor, a transmission fluidtemperature sensor, a turbine speed sensor (TSS), a variable reluctancesensor, a vehicle speed sensor (VSS), a water sensor, a wheel speedsensor, a GPS sensor, a mapping functionality, and any other type ofautomotive sensor. The navigation system 295A may store the sensor datain the memory 297A.

The communication unit 298A transmits and receives data to and from thenetwork 292 or to another communication channel. In some embodiments,the communication unit 298A may include a DSRC transceiver, a DSRCreceiver and other hardware or software necessary to make the transport276 a DSRC-equipped device.

The transport 276 may interact with other transports 277 via V2Vtechnology. V2V communication includes sensing radar informationcorresponding to relative distances to external objects, receiving GPSinformation of the transports, setting areas as areas where the othertransports 277 are located based on the sensed radar information,calculating probabilities that the GPS information of the objectvehicles will be located at the set areas, and identifying transportsand/or objects corresponding to the radar information and the GPSinformation of the object vehicles based on the calculatedprobabilities, in one embodiment.

In one embodiment, the solutions described and depicted herein can beutilized to manage emergency scenarios and transport features when atransport is determined to be entering an area without network access.In one embodiment, the solutions can also be utilized to manage andprovide features in a transport (such as audio, video, navigation, etc.)without network connection. In one embodiment, the solutions can also beutilized to determine when a profile of a person in proximity to thetransport matches profile attributes of a profile of at least oneoccupant in the transport. A notification is sent from the transport toestablish communication.

In one embodiment, the solutions can also be utilized to analyze theavailability of occupants in respective transports that are availablefor a voice communication based on an amount of time remaining in thetransport and context of the communication to be performed. In oneembodiment, the solutions can also be utilized to determine two levelsof threat of roadway obstruction and receiving a gesture that mayindicate that the obstruction is not rising to an alert above athreshold, and proceeding, by the transport along the roadway. In oneembodiment, the solutions can also be utilized to delete sensitive datafrom a transport when the transport has had damage such that it isrendered unable to be used.

In one embodiment, the solutions can also be utilized to verify that thecustomer data to be removed has truly been removed from all of therequired locations within the enterprise demonstrating GDPR compliance.In one embodiment, the solutions can also be utilized to provideconsideration from one transport to another transport in exchange fordata related to safety, important notifications, etc. to enhance theautonomous capabilities of the lower level autonomous vehicle. In oneembodiment, the solutions can also be utilized to provide an ability fora transport to receive data based on a first biometric associated withan occupant. Then the transport unencrypts the encrypted data based on averification of a second biometric, wherein the second biometric is acontinuum of the first biometric. The transport provides the unencrypteddata to the occupant when only the occupant is able to receive theunencrypted data and deletes a sensitive portion of the unencrypted dataas the sensitive portion is being provided and a non-sensitive portionafter a period of time associated with the biometric elapses. In oneembodiment, the solutions can also be utilized to provide an ability fora transport to validate an individual based on a weight and grippressure applied to the steering wheel of the transport. In oneembodiment, the solutions can also be utilized to provide a feature to acar that exists but is not currently enabled presenting features to anoccupant of the automobile that reflects the occupant's characteristics.

In one embodiment, the solutions can also be utilized to allow for themodification of a transport, particularly the interior of the transportas well as the exterior of the transport to reflect, and assist at leastone occupant, in one embodiment. In another embodiment, recreating anoccupant's work and/or home environment is disclosed. The system mayattempt to “recreate” the user's work/home environment while the user isin the transport if it determines that the user is in “work mode” or“home mode”. All data related to the interior and exterior of thetransport as well as the various occupants utilizing the transport arestored on a blockchain and executed via smart contracts. In oneembodiment, the solutions can also be utilized to detect occupantgestures to assist in communicating with nearby transports wherein thetransport may maneuver accordingly. In one embodiment, the solutions canalso be utilized to provide the ability for a transport to detectintended gestures using a gesture definition datastore. In oneembodiment, the solutions can also be utilized to provide an ability fora transport to take various actions based on a gait and a gesture of auser. In one embodiment, the solutions can also be utilized to ensurethat a driver of a transport that is currently engaged in variousoperations (for example, driving while talking with navigation on, etc.)does not exceed an unsafe number of operations before being permitted togesture.

In one embodiment, the solutions can also be utilized to assign a statusto each occupant in a transport and validating a gesture from anoccupant based on the occupant's status. In one embodiment, thesolutions can also be utilized to collect details of sound related to acollision (in what location, in what direction, rising or falling, fromwhat device, data associated with the device such as type, manufacturer,owner, as well as the number of contemporaneous sounds, and the timesthe sounds were emanated, etc.) and provide to the system where analysisof the data assists in determining details regarding the collision. Inone embodiment, the solutions can also be utilized to provide adetermination that a transport is unsafe to operate. The transportincludes multiple components that interoperate to control the transport,and each component is associated with a separate component key. Acryptographic key is sent to the transport to decrease transportfunctionality. In response to receiving the cryptographic key, thetransport disables one or more of the component keys. Disabling the oneor more component keys results in one or more of limiting the transportto not move greater than a given speed, limiting the transport to notcome closer than a distance to another transport, and limiting thetransport to not travel greater than a threshold distance.

In one embodiment, the solutions can also be utilized to provide anindication from one specific transport (that is about to vacate alocation) to another specific transport (that is seeking to occupy alocation), a blockchain is used to perform authentication andcoordination. In one embodiment, the solutions can also be utilized todetermine a fractional responsibility for a transport. Such as the casewhere multiple people own a single transport, and the use of thetransport, which may change over a period of time, is used by the systemto update the fractional ownership. Other embodiments will be includedin the application including a minimal ownership of a transport based onnot the use of the transport, but the availability of the transport, andthe determination of the driver of the transport as well as others.

In one embodiment, the solutions can also be utilized to permit in atransport a user to his/her subscriptions with a closed group of peoplesuch as family members or friends. For example, a user might want toshare a membership, and if so, associated transactions are stored in ablockchain or traditional database. When the subscribed materials arerequested by a user, who is not a primary subscriber, a blockchain node(i.e., a transport) can verify that a person requesting a service is anauthorized person with whom the subscriber has shared the profile. Inone embodiment, the solutions can also be utilized to allow a person toutilize supplemental transport(s) to arrive at an intended destination.A functional relationship value (e.g. value that indicates the variousparameters and their importance in determining what type of alternatetransport to utilize) is used in determining the supplemental transport.In one embodiment, the solutions can also be utilized to allow theoccupants in an accident to have access to other transports to continueto their initial destination.

In one embodiment, the solutions can also be utilized to propagate asoftware/firmware upload to a first subset of transports. This first setof transports test the update, and when the test is successful, theupdate is propagated to a further set of transports. In one embodiment,the solutions can also be utilized to propagate software/firmwareupdates to vehicles from a master transport where the update ispropagated through the network of vehicles from a first subset, then alarger subset, etc. A portion of the update may be first sent, then theremaining portion sent from the same or another vehicle. In oneembodiment, the solutions can also be utilized to provide an update fora transport's computer to the transport and a transportoperator's/occupant's device. The update is maybe authorized by alldrivers and/or all occupants. The software update is provided to thevehicle and the device(s). The user doesn't have to do anything but goproximate to the vehicle and the functionality automatically occurs. Anotification is sent to the device(s) indicating that the softwareupdate is completed. In one embodiment, the solutions can also beutilized to validate that an OTA software update is performed by aqualified technician and generation, by the one or more transportcomponents, of a status related to: an originator of the validationcode, a procedure for wirelessly receiving the software update,information contained in the software update, and results of thevalidation.

In one embodiment, the solutions can also be utilized to provide theability to parse a software update located in a first component by asecond component. Then verifying the first portion of critical updatesand a second portion of non-critical updates, assigning the verifiedfirst portion to one process in the transport, running the verifiedfirst portion with the one process for a period of time, and responsiveto positive results based on the period of time, running the verifiedfirst portion with other processes after the period of time. In oneembodiment, the solutions can also be utilized to provide a selection ofservices to an occupant where the services are based on a profile of anoccupant of the transport, and a shared profile which is shared with theprofile of the occupant. In one embodiment, the solutions can also beutilized to store user profile data in a blockchain and intelligentlypresent offers and recommendations to a user based on the user'sautomatically gathered history of purchases and preferences acquiredfrom the user profile on the blockchain.

For a transport to be adequately secured, the transport must beprotected from unauthorized physical access as well as unauthorizedremote access (e.g., cyber-threats). To prevent unauthorized physicalaccess, a transport is equipped with a secure access system such as akeyless entry in one embodiment. Meanwhile, security protocols are addedto a transport's computers and computer networks to facilitate secureremote communications to and from the transport in one embodiment.

Electronic Control Units (ECUs) are nodes within a transport thatcontrol tasks such as activating the windshield wipers to tasks such asan anti-lock brake system. ECUs are often connected to one anotherthrough the transport's central network, which may be referred to as acontroller area network (CAN). State of the art features such asautonomous driving are strongly reliant on the implementation of new,complex ECUs such as advanced driver-assistance systems (ADAS), sensors,and the like. While these new technologies have helped improve thesafety and driving experience of a transport, they have also increasedthe number of externally-communicating units inside of the transportmaking them more vulnerable to attack. Below are some examples ofprotecting the transport from physical intrusion and remote intrusion.

FIG. 2L illustrates a keyless entry system 290B to prevent unauthorizedphysical access to a transport 291B, according to example embodiments.Referring to FIG. 2L, a key fob 292B transmits commands to a transport291B using radio frequency signals in one embodiment. In this example,the key fob 292B includes a transmitter 2921B with an antenna that iscapable of sending short-range wireless radio signals. The transport291B includes a receiver 2911B with an antenna that is capable ofreceiving the short-range wireless signal transmitted from thetransmitter 2921B. The key fob 292B and the transport 291B also includeCPUs 2922B and 2913B, respectively, which control the respectivedevices. Here, a memory of the CPUs 2922B and 2913B (or accessible tothe CPUs). Each of the key fob 292B and the transport 291B includespower supplies 2924B and 2915B for powering the respective devices inone embodiment.

When the user presses a button 293B (or otherwise actuates the fob,etc.) on the key fob 292B, the CPU 2922B wakes up inside the key fob292B and sends a data stream to the transmitter 2921B which is outputvia the antenna. The data stream may be a 64 bit to 128 bit long signalwhich includes one or more of a preamble, a command code, and a rollingcode. The signal may be sent at a rate between 2 KHz and 20 KHz, butembodiments are not limited thereto. In response, the receiver 2911B ofthe transport 291B captures the signal from the transmitter 2921B,demodulates the signal, and sends the data stream to the CPU 2913B whichdecodes the signal and sends commands (e.g., lock the door, unlock thedoor, etc.) to a command module 2912B.

If the key fob 292B and the transport 291B use a fixed code betweenthem, replay attacks can be performed. In this case, if the attacker isable to capture/sniff the fixed code during the short-rangecommunication, the attacker could replay this code to gain entry intothe transport 291B. To improve security, the key fob and the transport291B may use a rolling code that changes after each use. Here, the keyfob 292B and the transport 291B are synchronized with an initial seed2923B (e.g., a random number, pseudo random number, etc.) This isreferred to as pairing. The key fob 292B and the transport 291B alsoinclude a shared algorithm for modifying the initial seed 2914B eachtime the button 293B is pressed. The following keypress will take theresult of the previous keypress as an input and transform it into thenext number in the sequence. In some cases, the transport 291B may storemultiple next codes (e.g., 255 next codes) in case the keypress on thekey fob 292B is not detected by the transport 291B. Thus, a number ofkeypress on the key fob 292B that are unheard by the transport 291B donot prevent the transport from becoming out of sync.

In addition to rolling codes, the key fob 292B and the transport 291Bmay employ other methods to make attacks even more difficult. Forexample, different frequencies may be used for transmitting the rollingcodes. As another example, two-way communication between the transmitter2921B and the receiver 2911B may be used to establish a secure session.As another example, codes may have limited expirations or timeouts.Further, the instant solution as described and depicted with respect toFIG. 2L can be utilized in this and other networks and/or systemsincluding those that are described and depicted herein.

FIG. 2M illustrates a controller area network (CAN) 290C within atransport, according to example embodiments. Referring to FIG. 2M, theCAN 290C includes a CAN bus 297C with a high and low terminal, andplurality of electronic control units (ECUs) 291C, 292C, 293C, etc.which are connected to the CAN bus 297C via wired connections. The CANbus 297C is designed to allow microcontrollers and devices tocommunicate with each other in an application without a host computer.The CAN bus 297C implements a message-based protocol (i.e., ISO 11898standards) that allows ECUs 291C-293C to send commands to one another ata root level. Meanwhile, the ECUs 291C-293C represent controllers forcontrolling electrical systems or subsystems within the transport.Examples of the electrical systems include power steering, anti-lockbrakes, air-conditioning, tire pressure monitoring, cruise control, andmany other features.

In this example, the ECU 291C includes a transceiver 2911C and amicrocontroller 2912C. The transceiver may be used to transmit andreceive messages to and from the CAN bus 297C. For example, thetransceiver 2911C may convert the data from the microcontroller 2912Cinto a format of the CAN bus 297C and also convert data from the CAN bus297C into a format for the microcontroller 2912C. Meanwhile, themicrocontroller 2912C interprets the messages and also decide whatmessages to send using ECU software installed therein in one embodiment.

In order to protect the CAN 290C from cyber-threats, various securityprotocols may be implemented. For example, sub-networks (e.g.,sub-networks A and B, etc.) may be used to divide the CAN 290C intosmaller sub-CANs and limit an attacker's capabilities to access thetransport remotely. In the example of FIG. 2M, ECUs 291C and 292C may bepart of a same sub-network while ECU 293C is part of an independentsub-network. Furthermore, a firewall 294C (or gateway, etc.) may beadded to block messages from crossing the CAN bus 297C acrosssub-networks. If an attacker gains access to one sub-network, theattacker will not have access to the entire network. To makesub-networks even more secure, the most critical ECUs are not be placedon the same sub-network, in one embodiment.

Although not shown in FIG. 2M, other examples of security controlswithin a CAN include an intrusion detection system (IDS) which can beadded to each sub-network and read all data passing to detect maliciousmessages. If a malicious message is detected, the IDS can notify theautomobile user. Other possible security protocols includeencryption/security keys that can be used to obscure messages. Asanother example, authentication protocols are implemented that enable amessage to authenticate itself, in one embodiment.

In addition to protecting a transport's internal network, transports mayalso be protected when communicating with external networks such as theInternet. One of the benefits of having a transport connected to a datasource such as the Internet is that information from the transport canbe sent through a network to remote locations for analysis. Examples oftransport information include GPS, onboard diagnostics, tire pressure,and the like. These communication systems are often referred to astelematics because they involve the combination of telecommunicationsand informatics. Further, the instant solution as described and depictedwith respect to FIG. 2M can be utilized in this and other networksand/or systems including those that are described and depicted herein.

FIG. 2N illustrates a secure end-to-end transport communication channelaccording to example embodiments. Referring to FIG. 2N, a telematicsnetwork 290D includes a transport 291D and a host server 295D that isdisposed at a remote location (e.g., a web server, a cloud platform, adatabase, etc.) and connected to the transport 291D via a network suchas the Internet. In this example, a device 296D associated with the hostserver 295D may be installed within the network inside the transport291D. Furthermore, although not shown, the device 296D may connect toother elements of the transport 291D such as the CAN bus, an onboarddiagnostics (ODBII) port, a GPS system, a SIM card, a modem, and thelike. The device 296D may collect data from any of these systems andtransfer the data to the server 295D via the network.

Secure management of data begins with the transport 291D. In someembodiments, the device 296D may collect information before, during, andafter a trip. The data may include GPS data, travel data, passengerinformation, diagnostic data, fuel data, speed data, and the like.However, the device 296D may only communicate the collected informationback to the host server 295D in response to transport ignition and tripcompletion. Furthermore, communication may only be initiated by thedevice 296D, and not by the host server 295D. As such, the device 296Dwill not accept communications initiated by outside sources in oneembodiment.

To perform the communication, the device 296D may establish a securedprivate network between the device 296D and the host server 295D. Here,the device 296D may include a tamper-proof SIM card which providessecure access to a carrier network 294D, via a radio tower 292D. Whenpreparing to transmit data to the host server 295D, the device 296D mayestablish a one-way secure connection with the host server 295D. Thecarrier network 294D may communicate with the host server 295D using oneor more security protocols. As a non-limiting example, the carriernetwork 294D may communicate with the host server 295D via a VPN tunnelwhich allows access through a firewall 293D of the host server 295D. Asanother example, the carrier network 294D may use data encryption (e.g.,AES encryption, etc.) when transmitting data to the host server 295D. Insome cases, the system may use multiple security measures such as both aVPN and encryption to further secure the data.

In addition to communicating with external servers, transports may alsocommunicate with each other. In particular, transport-to-transport (V2V)communication systems enable transports to communicate with each other,roadside infrastructures (e.g., traffic lights, signs, cameras, parkingmeters, etc.), and the like, over a wireless network. The wirelessnetwork may include one or more of a Wi-Fi networks, cellular networks,dedicated short range communication (DSRC) networks, and the like.Transports may use V2V communication to provide other transports withinformation about a transport's speed, acceleration, braking, anddirection, to name a few. Accordingly, transports can receive insight ofthe conditions ahead before such conditions become visible thus greatlyreducing collisions. Further, the instant solution as described anddepicted with respect to FIG. 2N can be utilized in this and othernetworks and/or systems including those that are described and depictedherein.

FIG. 2O illustrates an example 290E of transports 293E and 292Eperforming secured V2V communications using security certificates,according to example embodiments. Referring to FIG. 2O, the transports293E and 292E may communicate with each other through V2V communicationsover a short-range network, a cellular network, or the like. Beforesending messages, the transports 293E and 292E may sign the messagesusing a respective public key certificate. For example, the transport293E may sign a V2V message using a public key certificate 294E.Likewise, the transport 292E may sign a V2V message using a public keycertificate 295E. The public key certificates 294E and 295E areassociated with the transports 293E and 292E, respectively in oneembodiment.

Upon receiving the communications from each other, the transports mayverify the signatures with a certificate authority 291E, or the like.For example, the transport 292E may verify with the certificateauthority 291E that the public key certificate 294E used by transport293E to sign a V2V communication is authentic. If the transport 292Esuccessfully verifies the public key certificate 294E, the transportknows that the data is from a legitimate source. Likewise, the transport293E may verify with the certificate authority 291E that the public keycertificate 295E used by the transport 292E to sign a V2V communicationis authentic. Further, the instant solution as described and depictedwith respect to FIG. 2O can be utilized in this and other networksand/or systems including those that are described and depicted herein.

FIG. 3A illustrates a flowchart 300, according to example embodiments.Referring to FIG. 3A, the processor may perform one or more of obtaindata related to a performance of a transport 302, determine aperformance level of the transport based on the obtained data 304,dynamically revise the performance level based on a current use of thetransport 306, and determine a next use of the transport, based on thedynamically revised performance level 308.

FIG. 3B illustrates another flowchart 320, according to exampleembodiments. Referring to FIG. 3B, the processor may perform one or moreof dynamically revise the performance level based on a service performedon the transport, wherein the service performed includes one or more ofreplacing and upgrading one or more parts on the transport 322, informone or more actions that can be taken to raise the performance level ofthe transport, wherein the one or more actions increase a value of thetransport 324, basing the performance level on an assessment of acondition of the transport, an operation behavior of the transport, andan upkeep of the transport, while the transport is in use 326, and thenext use includes one or more of place the transport into a leasingprogram, place the transport into a ride-share program, and sell thetransport 328.

FIG. 3C illustrates yet another flowchart 340, according to exampleembodiments. Referring to FIG. 3C, the processor may perform one or moreof receive a validation of a modification of the performance levelwherein the validation comprises a blockchain consensus between a peergroup consisting of the transport and a server 342 and execute a smartcontract to record the validation on a blockchain, based on theblockchain consensus 344.

FIG. 3D illustrates a flowchart 360, according to example embodiments.Referring to FIG. 3D, the processor may perform one or more of receivecharacteristics related to a transport within a time period, wherein thecharacteristics are related to a condition of the transport, anoperation behavior of the transport and an upkeep of the transport 362,provide one or more actions to perform by the transport to increase alevel of the characteristics 364, and responsive to the level of thecharacteristics being increased, determine a next use of the transportafter the time period 366.

FIG. 3E illustrates a flowchart 380, according to example embodiments.Referring to FIG. 3E, the processor may perform one or more of selectthe transport before the time period based on a term associated with thetransport and an acceptability threshold 382, the one or more actionsinclude a modification to a lower usage of the transport, a modificationto a driving manner of the transport and a maintenance of the transport384, monitor the characteristics as the transport is being driven, andproviding to the transport, a characteristic, of the characteristics, ata lowest level 386, monitor the characteristics as the transport isbeing driven, and providing to the transport, a characteristic, of thecharacteristics, at a lowest level 387, receive a request from thetransport to increase the level of the characteristics, and provide theone or more actions to perform based on a current use of the transport388, and monitor the characteristics as the transport is being driven,and provide to the transport, a characteristic, of the characteristics,at a lowest level 389.

FIG. 4 illustrates a machine learning transport network diagram 400,according to example embodiments. The network 400 includes a transportnode 402 that interfaces with a machine learning subsystem 406. Thetransport node includes one or more sensors 404.

The machine learning subsystem 406 contains a learning model 408, whichis a mathematical artifact created by a machine learning training system410 that generates predictions by finding patterns in one or moretraining data sets. In some embodiments, the machine learning subsystem406 resides in the transport node 402. In other embodiments, the machinelearning subsystem 406 resides outside of the transport node 402.

The transport node 402 sends data from the one or more sensors 404 tothe machine learning subsystem 406. The machine learning subsystem 406provides the one or more sensor 404 data to the learning model 408,which returns one or more predictions. The machine learning subsystem406 sends one or more instructions to the transport node 402 based onthe predictions from the learning model 408.

In a further embodiment, the transport node 402 may send the one or moresensor 404 data to the machine learning training system 410. In yetanother embodiment, the machine learning subsystem 406 may sent thesensor 404 data to the machine learning subsystem 410. One or more ofthe applications, features, steps, solutions, etc., described and/ordepicted herein may utilize the machine learning network 400 asdescribed herein.

FIG. 5A illustrates an example vehicle configuration 500 for managingdatabase transactions associated with a vehicle, according to exampleembodiments. Referring to FIG. 5A, as a particular transport/vehicle 525is engaged in transactions (e.g., vehicle service, dealer transactions,delivery/pickup, transportation services, etc.), the vehicle may receiveassets 510 and/or expel/transfer assets 512 according to atransaction(s). A transport processor 526 resides in the vehicle 525 andcommunication exists between the transport processor 526, a database530, a transport processor 526 and the transaction module 520. Thetransaction module 520 may record information, such as assets, parties,credits, service descriptions, date, time, location, results,notifications, unexpected events, etc. Those transactions in thetransaction module 520 may be replicated into a database 530. Thedatabase 530 can be one of a SQL database, an RDBMS, a relationaldatabase, a non-relational database, a blockchain, a distributed ledger,and may be on board the transport, may be off board the transport, maybe accessible directly and/or through a network, or be accessible to thetransport.

FIG. 5B illustrates an example vehicle configuration 550 for managingdatabase transactions conducted among various vehicles, according toexample embodiments. The vehicle 525 may engage with another vehicle 508to perform various actions such as to share, transfer, acquire servicecalls, etc. when the vehicle has reached a status where the servicesneed to be shared with another vehicle. For example, the vehicle 508 maybe due for a battery charge and/or may have an issue with a tire and maybe in route to pick up a package for delivery. A transport processor 528resides in the vehicle 508 and communication exists between thetransport processor 528, a database 554, and the transaction module 552.The vehicle 508 may notify another vehicle 525, which is in its networkand which operates on its blockchain member service. A transportprocessor 526 resides in the vehicle 525 and communication existsbetween the transport processor 526, a database 530, the transportprocessor 526 and a transaction module 520. The vehicle 525 may thenreceive the information via a wireless communication request to performthe package pickup from the vehicle 508 and/or from a server (notshown). The transactions are logged in the transaction modules 552 and520 of both vehicles. The credits are transferred from vehicle 508 tovehicle 525 and the record of the transferred service is logged in thedatabase 530/554 assuming that the blockchains are different from oneanother, or, are logged in the same blockchain used by all members. Thedatabase 554 can be one of a SQL database, an RDBMS, a relationaldatabase, a non-relational database, a blockchain, a distributed ledger,and may be on board the transport, may be off board the transport, maybe accessible directly and/or through a network.

FIG. 6A illustrates a blockchain architecture configuration 600,according to example embodiments. Referring to FIG. 6A, the blockchainarchitecture 600 may include certain blockchain elements, for example, agroup of blockchain member nodes 602-606 as part of a blockchain group610. In one example embodiment, a permissioned blockchain is notaccessible to all parties but only to those members with permissionedaccess to the blockchain data. The blockchain nodes participate in anumber of activities, such as blockchain entry addition and validationprocess (consensus). One or more of the blockchain nodes may endorseentries based on an endorsement policy and may provide an orderingservice for all blockchain nodes. A blockchain node may initiate ablockchain action (such as an authentication) and seek to write to ablockchain immutable ledger stored in the blockchain, a copy of whichmay also be stored on the underpinning physical infrastructure.

The blockchain transactions 620 are stored in memory of computers as thetransactions are received and approved by the consensus model dictatedby the members' nodes. Approved transactions 626 are stored in currentblocks of the blockchain and committed to the blockchain via a committalprocedure, which includes performing a hash of the data contents of thetransactions in a current block and referencing a previous hash of aprevious block. Within the blockchain, one or more smart contracts 630may exist that define the terms of transaction agreements and actionsincluded in smart contract executable application code 632, such asregistered recipients, vehicle features, requirements, permissions,sensor thresholds, etc. The code may be configured to identify whetherrequesting entities are registered to receive vehicle services, whatservice features they are entitled/required to receive given theirprofile statuses and whether to monitor their actions in subsequentevents. For example, when a service event occurs and a user is riding inthe vehicle, the sensor data monitoring may be triggered, and a certainparameter, such as a vehicle charge level, may be identified as beingabove/below a particular threshold for a particular period of time, thenthe result may be a change to a current status, which requires an alertto be sent to the managing party (i.e., vehicle owner, vehicle operator,server, etc.) so the service can be identified and stored for reference.The vehicle sensor data collected may be based on types of sensor dataused to collect information about vehicle's status. The sensor data mayalso be the basis for the vehicle event data 634, such as a location(s)to be traveled, an average speed, a top speed, acceleration rates,whether there were any collisions, was the expected route taken, what isthe next destination, whether safety measures are in place, whether thevehicle has enough charge/fuel, etc. All such information may be thebasis of smart contract terms 630, which are then stored in ablockchain. For example, sensor thresholds stored in the smart contractcan be used as the basis for whether a detected service is necessary andwhen and where the service should be performed.

FIG. 6B illustrates a shared ledger configuration, according to exampleembodiments. Referring to FIG. 6B, the blockchain logic example 640includes a blockchain application interface 642 as an API or plug-inapplication that links to the computing device and execution platformfor a particular transaction. The blockchain configuration 640 mayinclude one or more applications, which are linked to applicationprogramming interfaces (APIs) to access and execute storedprogram/application code (e.g., smart contract executable code, smartcontracts, etc.), which can be created according to a customizedconfiguration sought by participants and can maintain their own state,control their own assets, and receive external information. This can bedeployed as an entry and installed, via appending to the distributedledger, on all blockchain nodes.

The smart contract application code 644 provides a basis for theblockchain transactions by establishing application code, which whenexecuted causes the transaction terms and conditions to become active.The smart contract 630, when executed, causes certain approvedtransactions 626 to be generated, which are then forwarded to theblockchain platform 652. The platform includes a security/authorization658, computing devices, which execute the transaction management 656 anda storage portion 654 as a memory that stores transactions and smartcontracts in the blockchain.

The blockchain platform may include various layers of blockchain data,services (e.g., cryptographic trust services, virtual executionenvironment, etc.), and underpinning physical computer infrastructurethat may be used to receive and store new entries and provide access toauditors, which are seeking to access data entries. The blockchain mayexpose an interface that provides access to the virtual executionenvironment necessary to process the program code and engage thephysical infrastructure. Cryptographic trust services may be used toverify entries such as asset exchange entries and keep informationprivate.

The blockchain architecture configuration of FIGS. 6A and 6B may processand execute program/application code via one or more interfaces exposed,and services provided, by the blockchain platform. As a non-limitingexample, smart contracts may be created to execute reminders, updates,and/or other notifications subject to the changes, updates, etc. Thesmart contracts can themselves be used to identify rules associated withauthorization and access requirements and usage of the ledger. Forexample, the information may include a new entry, which may be processedby one or more processing entities (e.g., processors, virtual machines,etc.) included in the blockchain layer. The result may include adecision to reject or approve the new entry based on the criteriadefined in the smart contract and/or a consensus of the peers. Thephysical infrastructure may be utilized to retrieve any of the data orinformation described herein.

Within smart contract executable code, a smart contract may be createdvia a high-level application and programming language, and then writtento a block in the blockchain. The smart contract may include executablecode that is registered, stored, and/or replicated with a blockchain(e.g., distributed network of blockchain peers). An entry is anexecution of the smart contract code, which can be performed in responseto conditions associated with the smart contract being satisfied. Theexecuting of the smart contract may trigger a trusted modification(s) toa state of a digital blockchain ledger. The modification(s) to theblockchain ledger caused by the smart contract execution may beautomatically replicated throughout the distributed network ofblockchain peers through one or more consensus protocols.

The smart contract may write data to the blockchain in the format ofkey-value pairs. Furthermore, the smart contract code can read thevalues stored in a blockchain and use them in application operations.The smart contract code can write the output of various logic operationsinto the blockchain. The code may be used to create a temporary datastructure in a virtual machine or other computing platform. Data writtento the blockchain can be public and/or can be encrypted and maintainedas private. The temporary data that is used/generated by the smartcontract is held in memory by the supplied execution environment, thendeleted once the data needed for the blockchain is identified.

A smart contract executable code may include the code interpretation ofa smart contract, with additional features. As described herein, thesmart contract executable code may be program code deployed on acomputing network, where it is executed and validated by chainvalidators together during a consensus process. The smart contractexecutable code receives a hash and retrieves from the blockchain a hashassociated with the data template created by use of a previously storedfeature extractor. If the hashes of the hash identifier and the hashcreated from the stored identifier template data match, then the smartcontract executable code sends an authorization key to the requestedservice. The smart contract executable code may write to the blockchaindata associated with the cryptographic details.

FIG. 6C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments. Referring to FIG.6C, the example configuration 660 provides for the vehicle 662, the userdevice 664 and a server 666 sharing information with a distributedledger (i.e., blockchain) 668. The server may represent a serviceprovider entity inquiring with a vehicle service provider to share userprofile rating information in the event that a known and establisheduser profile is attempting to rent a vehicle with an established ratedprofile. The server 666 may be receiving and processing data related toa vehicle's service requirements. As the service events occur, such asthe vehicle sensor data indicates a need for fuel/charge, a maintenanceservice, etc., a smart contract may be used to invoke rules, thresholds,sensor information gathering, etc., which may be used to invoke thevehicle service event. The blockchain transaction data 670 is saved foreach transaction, such as the access event, the subsequent updates to avehicle's service status, event updates, etc. The transactions mayinclude the parties, the requirements (e.g., 18 years of age, serviceeligible candidate, valid driver's license, etc.), compensation levels,the distance traveled during the event, the registered recipientspermitted to access the event and host a vehicle service,rights/permissions, sensor data retrieved during the vehicle eventoperation to log details of the next service event and identify avehicle's condition status, and thresholds used to make determinationsabout whether the service event was completed and whether the vehicle'scondition status has changed.

FIG. 6D illustrates blockchain blocks 680 that can be added to adistributed ledger, according to example embodiments, and contents ofblock structures 682A to 682 n. Referring to FIG. 6D, clients (notshown) may submit entries to blockchain nodes to enact activity on theblockchain. As an example, clients may be applications that act onbehalf of a requester, such as a device, person or entity to proposeentries for the blockchain. The plurality of blockchain peers (e.g.,blockchain nodes) may maintain a state of the blockchain network and acopy of the distributed ledger. Different types of blockchainnodes/peers may be present in the blockchain network including endorsingpeers, which simulate and endorse entries proposed by clients andcommitting peers which verify endorsements, validate entries, and commitentries to the distributed ledger. In this example, the blockchain nodesmay perform the role of endorser node, committer node, or both.

The instant system includes a blockchain that stores immutable,sequenced records in blocks, and a state database (current world state)maintaining a current state of the blockchain. One distributed ledgermay exist per channel and each peer maintains its own copy of thedistributed ledger for each channel of which they are a member. Theinstant blockchain is an entry log, structured as hash-linked blockswhere each block contains a sequence of N entries. Blocks may includevarious components such as those shown in FIG. 6D. The linking of theblocks may be generated by adding a hash of a prior block's headerwithin a block header of a current block. In this way, all entries onthe blockchain are sequenced and cryptographically linked togetherpreventing tampering with blockchain data without breaking the hashlinks. Furthermore, because of the links, the latest block in theblockchain represents every entry that has come before it. The instantblockchain may be stored on a peer file system (local or attachedstorage), which supports an append-only blockchain workload.

The current state of the blockchain and the distributed ledger may bestored in the state database. Here, the current state data representsthe latest values for all keys ever included in the chain entry log ofthe blockchain. Smart contract executable code invocations executeentries against the current state in the state database. To make thesesmart contract executable code interactions extremely efficient, thelatest values of all keys are stored in the state database. The statedatabase may include an indexed view into the entry log of theblockchain, it can therefore be regenerated from the chain at any time.The state database may automatically get recovered (or generated ifneeded) upon peer startup, before entries are accepted.

Endorsing nodes receive entries from clients and endorse the entry basedon simulated results. Endorsing nodes hold smart contracts, whichsimulate the entry proposals. When an endorsing node endorses an entry,the endorsing nodes creates an entry endorsement, which is a signedresponse from the endorsing node to the client application indicatingthe endorsement of the simulated entry. The method of endorsing an entrydepends on an endorsement policy that may be specified within smartcontract executable code. An example of an endorsement policy is “themajority of endorsing peers must endorse the entry.” Different channelsmay have different endorsement policies. Endorsed entries are forward bythe client application to an ordering service.

The ordering service accepts endorsed entries, orders them into a block,and delivers the blocks to the committing peers. For example, theordering service may initiate a new block when a threshold of entrieshas been reached, a timer times out, or another condition. In thisexample, blockchain node is a committing peer that has received a datablock 682A for storage on the blockchain. The ordering service may bemade up of a cluster of orderers. The ordering service does not processentries, smart contracts, or maintain the shared ledger. Rather, theordering service may accept the endorsed entries and specifies the orderin which those entries are committed to the distributed ledger. Thearchitecture of the blockchain network may be designed such that thespecific implementation of ‘ordering’ (e.g., Solo, Kafka, BFT, etc.)becomes a pluggable component.

Entries are written to the distributed ledger in a consistent order. Theorder of entries is established to ensure that the updates to the statedatabase are valid when they are committed to the network. Unlike acryptocurrency blockchain system (e.g., Bitcoin, etc.) where orderingoccurs through the solving of a cryptographic puzzle, or mining, in thisexample the parties of the distributed ledger may choose the orderingmechanism that best suits that network.

Referring to FIG. 6D, a block 682A (also referred to as a data block)that is stored on the blockchain and/or the distributed ledger mayinclude multiple data segments such as a block header 684A to 684 n,transaction specific data 686A to 686 n, and block metadata 688A to 688n. It should be appreciated that the various depicted blocks and theircontents, such as block 682A and its contents are merely for purposes ofan example and are not meant to limit the scope of the exampleembodiments. In some cases, both the block header 684A and the blockmetadata 688A may be smaller than the transaction specific data 686A,which stores entry data; however, this is not a requirement. The block682A may store transactional information of N entries (e.g., 100, 500,1000, 2000, 3000, etc.) within the block data 690A to 690 n. The block682A may also include a link to a previous block (e.g., on theblockchain) within the block header 684A. In particular, the blockheader 684A may include a hash of a previous block's header. The blockheader 684A may also include a unique block number, a hash of the blockdata 690A of the current block 682A, and the like. The block number ofthe block 682A may be unique and assigned in an incremental/sequentialorder starting from zero. The first block in the blockchain may bereferred to as a genesis block, which includes information about theblockchain, its members, the data stored therein, etc.

The block data 690A may store entry information of each entry that isrecorded within the block. For example, the entry data may include oneor more of a type of the entry, a version, a timestamp, a channel ID ofthe distributed ledger, an entry ID, an epoch, a payload visibility, asmart contract executable code path (deploy tx), a smart contractexecutable code name, a smart contract executable code version, input(smart contract executable code and functions), a client (creator)identify such as a public key and certificate, a signature of theclient, identities of endorsers, endorser signatures, a proposal hash,smart contract executable code events, response status, namespace, aread set (list of key and version read by the entry, etc.), a write set(list of key and value, etc.), a start key, an end key, a list of keys,a Merkel tree query summary, and the like. The entry data may be storedfor each of the N entries.

In some embodiments, the block data 690A may also store transactionspecific data 686A, which adds additional information to the hash-linkedchain of blocks in the blockchain. Accordingly, the data 686A can bestored in an immutable log of blocks on the distributed ledger. Some ofthe benefits of storing such data 686A are reflected in the variousembodiments disclosed and depicted herein. The block metadata 688A maystore multiple fields of metadata (e.g., as a byte array, etc.).Metadata fields may include signature on block creation, a reference toa last configuration block, an entry filter identifying valid andinvalid entries within the block, last offset persisted of an orderingservice that ordered the block, and the like. The signature, the lastconfiguration block, and the orderer metadata may be added by theordering service. Meanwhile, a committer of the block (such as ablockchain node) may add validity/invalidity information based on anendorsement policy, verification of read/write sets, and the like. Theentry filter may include a byte array of a size equal to the number ofentries in the block data 610A and a validation code identifying whetheran entry was valid/invalid.

The other blocks 682B to 682 n in the blockchain also have headers,files, and values. However, unlike the first block 682A, each of theheaders 684A to 684 n in the other blocks includes the hash value of animmediately preceding block. The hash value of the immediately precedingblock may be just the hash of the header of the previous block or may bethe hash value of the entire previous block. By including the hash valueof a preceding block in each of the remaining blocks, a trace can beperformed from the Nth block back to the genesis block (and theassociated original file) on a block-by-block basis, as indicated byarrows 692, to establish an auditable and immutable chain-of-custody.

The above embodiments may be implemented in hardware, in a computerprogram executed by a processor, in firmware, or in a combination of theabove. A computer program may be embodied on a computer readable medium,such as a storage medium. For example, a computer program may reside inrandom access memory (“RAM”), flash memory, read-only memory (“ROM”),erasable programmable read-only memory (“EPROM”), electrically erasableprogrammable read-only memory (“EEPROM”), registers, hard disk, aremovable disk, a compact disk read-only memory (“CD-ROM”), or any otherform of storage medium known in the art.

An exemplary storage medium may be coupled to the processor such thatthe processor may read information from, and write information to, thestorage medium. In the alternative, the storage medium may be integralto the processor. The processor and the storage medium may reside in anapplication specific integrated circuit (“ASIC”). In the alternative,the processor and the storage medium may reside as discrete components.For example, FIG. 7 illustrates an example computer system architecture700, which may represent or be integrated in any of the above-describedcomponents, etc.

FIG. 7 is not intended to suggest any limitation as to the scope of useor functionality of embodiments of the application described herein.Regardless, the computing node 700 is capable of being implementedand/or performing any of the functionality set forth hereinabove.

In computing node 700 there is a computer system/server 702, which isoperational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 702 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 702 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 702 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 7, computer system/server 702 in cloud computing node700 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 702 may include, but are notlimited to, one or more processors or processing units 704, a systemmemory 706, and a bus that couples various system components includingsystem memory 706 to processor 704.

The bus represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 702 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 702, and it includes both volatileand non-volatile media, removable and non-removable media. System memory706, in one embodiment, implements the flowcharts of the other figures.The system memory 706 can include computer system readable media in theform of volatile memory, such as random-access memory (RAM) 708 and/orcache memory 710. Computer system/server 702 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, memory 706 can be provided for readingfrom and writing to a non-removable, non-volatile magnetic media (notshown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to the bus by one or more datamedia interfaces. As will be further depicted and described below,memory 706 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of various embodiments of the application.

Program/utility, having a set (at least one) of program modules, may bestored in memory 706 by way of example, and not limitation, as well asan operating system, one or more application programs, other programmodules, and program data. Each of the operating system, one or moreapplication programs, other program modules, and program data or somecombination thereof, may include an implementation of a networkingenvironment. Program modules generally carry out the functions and/ormethodologies of various embodiments of the application as describedherein.

As will be appreciated by one skilled in the art, aspects of the presentapplication may be embodied as a system, method, or computer programproduct. Accordingly, aspects of the present application may take theform of an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present application may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Computer system/server 702 may also communicate with one or moreexternal devices via an I/O device 712 (such as an I/O adapter), whichmay include a keyboard, a pointing device, a display, a voicerecognition module, etc., one or more devices that enable a user tointeract with computer system/server 702, and/or any devices (e.g.,network card, modem, etc.) that enable computer system/server 702 tocommunicate with one or more other computing devices. Such communicationcan occur via I/O interfaces of the device 712. Still yet, computersystem/server 702 can communicate with one or more networks such as alocal area network (LAN), a general wide area network (WAN), and/or apublic network (e.g., the Internet) via a network adapter. As depicted,device 712 communicates with the other components of computersystem/server 702 via a bus. It should be understood that although notshown, other hardware and/or software components could be used inconjunction with computer system/server 702. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Although an exemplary embodiment of at least one of a system, method,and non-transitory computer readable medium has been illustrated in theaccompanied drawings and described in the foregoing detaileddescription, it will be understood that the application is not limitedto the embodiments disclosed, but is capable of numerous rearrangements,modifications, and substitutions as set forth and defined by thefollowing claims. For example, the capabilities of the system of thevarious figures can be performed by one or more of the modules orcomponents described herein or in a distributed architecture and mayinclude a transmitter, receiver or pair of both. For example, all orpart of the functionality performed by the individual modules, may beperformed by one or more of these modules. Further, the functionalitydescribed herein may be performed at various times and in relation tovarious events, internal or external to the modules or components. Also,the information sent between various modules can be sent between themodules via at least one of: a data network, the Internet, a voicenetwork, an Internet Protocol network, a wireless device, a wired deviceand/or via plurality of protocols. Also, the messages sent or receivedby any of the modules may be sent or received directly and/or via one ormore of the other modules.

One skilled in the art will appreciate that a “system” could be embodiedas a personal computer, a server, a console, a personal digitalassistant (PDA), a cell phone, a tablet computing device, a smartphoneor any other suitable computing device, or combination of devices.Presenting the above-described functions as being performed by a“system” is not intended to limit the scope of the present applicationin any way but is intended to provide one example of many embodiments.Indeed, methods, systems and apparatuses disclosed herein may beimplemented in localized and distributed forms consistent with computingtechnology.

It should be noted that some of the system features described in thisspecification have been presented as modules, in order to moreparticularly emphasize their implementation independence. For example, amodule may be implemented as a hardware circuit comprising custom verylarge-scale integration (VLSI) circuits or gate arrays, off-the-shelfsemiconductors such as logic chips, transistors, or other discretecomponents. A module may also be implemented in programmable hardwaredevices such as field programmable gate arrays, programmable arraylogic, programmable logic devices, graphics processing units, or thelike.

A module may also be at least partially implemented in software forexecution by various types of processors. An identified unit ofexecutable code may, for instance, comprise one or more physical orlogical blocks of computer instructions that may, for instance, beorganized as an object, procedure, or function. Nevertheless, theexecutables of an identified module need not be physically locatedtogether but may comprise disparate instructions stored in differentlocations that when joined logically together, comprise the module andachieve the stated purpose for the module. Further, modules may bestored on a computer-readable medium, which may be, for instance, a harddisk drive, flash device, random access memory (RAM), tape, or any othersuch medium used to store data.

Indeed, a module of executable code could be a single instruction, ormany instructions, and may even be distributed over several differentcode segments, among different programs, and across several memorydevices. Similarly, operational data may be identified and illustratedherein within modules and may be embodied in any suitable form andorganized within any suitable type of data structure. The operationaldata may be collected as a single data set or may be distributed overdifferent locations including over different storage devices, and mayexist, at least partially, merely as electronic signals on a system ornetwork.

It will be readily understood that the components of the application, asgenerally described and illustrated in the figures herein, may bearranged and designed in a wide variety of different configurations.Thus, the detailed description of the embodiments is not intended tolimit the scope of the application as claimed but is merelyrepresentative of selected embodiments of the application.

One having ordinary skill in the art will readily understand that theabove may be practiced with steps in a different order, and/or withhardware elements in configurations that are different than those whichare disclosed. Therefore, although the application has been describedbased upon these preferred embodiments, it would be apparent to those ofskill in the art that certain modifications, variations, and alternativeconstructions would be apparent.

While preferred embodiments of the present application have beendescribed, it is to be understood that the embodiments described areillustrative only and the scope of the application is to be definedsolely by the appended claims when considered with a full range ofequivalents and modifications (e.g., protocols, hardware devices,software platforms etc.) thereto.

1. A method, comprising: receiving, by a server, driving data of a transport while the transport is being driven; executing, via the server, a linear regression model; determining, via the execution of a linear regression model by the server, a transport performance level score based on one or more of acceleration data, braking data, and cornering data included in the received driving data of the transport which are input to the linear regression model during the execution; executing, via the server and a plurality of transports which each store a local copy of a blockchain ledger, a consensus protocol in which the server and the plurality of transports each execute a smart contract and verify the determined transport level performance score based on criteria in the smart contract and ledger data read from a respective local copy of the blockchain ledger, determining whether a consensus on the determined transport performance level score has been reached based on the execution of the consensus protocol amongst the server and the plurality of transports; and responsive to determining the consensus has been reached on the transport performance level score, transmitting, by the server, a plurality of transport operational actions to perform to a user interface associated with the transport.
 2. The method of claim 1, comprising selecting, by the server, the transport based on a term associated with the transport and an acceptability threshold.
 3. The method of claim 1, wherein the plurality of transport operational actions include a modification to a lower usage of the transport, a modification to a driving manner of the transport and a maintenance of the transport.
 4. The method of claim 1, comprising: monitoring, by the server, the physical attributes of the transport which are sensed by the hardware sensors as the transport is being driven.
 5. (canceled)
 6. The method of claim 1, comprising: receiving, by the server, a request from the transport to increase the transport performance level; and providing, by the server, the plurality of transport operational actions to perform based on a current use of the transport.
 7. The method of claim 1, comprising: receiving, by the server, information from the transport related to a state of health of the transport; and determining, by the server, an availability of the transport before the time period.
 8. A system, comprising: a memory; a network interface; and a processor configured to: receive driving data of a transport while the transport is being driven; execute a linear regression model; determine, via the execution of the linear regression model, a transport performance level score based on one or more of acceleration data, braking data, and cornering data included in the received driving data of the transport which are input to the linear regression model during the execution; execute, via the system and a plurality of transports which each store a local copy of a blockchain ledger, a consensus protocol in which the system and the plurality of transports each execute a smart contract and verify the determined transport level performance score based on criteria in the smart contract and ledger data read from a respective local copy of the blockchain ledger, determine whether a consensus on the determined transport performance level score has been reached among the system and the plurality of transports based on the execution of the consensus protocol; and responsive to a determination that the consensus has been reached on the transport performance level score, transmit a plurality of transport operational actions to perform to a user interface associated with the transport.
 9. The system of claim 8, wherein the processor is further configured to select the transport based on a term associated with the transport and an acceptability threshold.
 10. The system of claim 8, wherein the plurality of operational actions include a modification to a lower usage of the transport, a modification to a driving manner of the transport and a maintenance of the transport.
 11. The system of claim 8, wherein the processor is further configured to monitor physical attributes of the transport which are sensed by hardware sensors as the transport is driven.
 12. (canceled)
 13. The system of claim 8, wherein the processor is further configured to receive a request from the transport to increase the transport performance level; and provide the plurality of transport operational actions to perform based on a current use of the transport.
 14. The system of claim 8, wherein the processor is further configured to receive information from the transport related to a state of health of the transport; and determine an availability of the transport before the time period.
 15. A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform a method comprising: receiving, by a server, driving data of a transport while the transport is being driven; executing, via the server, a linear regression model; determining, via the execution of the linear regression model by the server, a transport performance level score based on one or more of acceleration data, braking data, and cornering data included in the received driving data of the transport which are input to the linear regression model during the execution; determining whether a consensus on the determined transport performance level score has been reached based on the execution of the consensus protocol amongst the server and the plurality of transports; and responsive to determining the consensus has been reached on the transport performance level score, transmitting, by the server, a plurality of transport operational actions to perform to a user interface associated with the transport.
 16. The non-transitory computer readable storage medium of claim 15, wherein the method further comprises selecting, by the server, the transport based on a term associated with the transport and an acceptability threshold.
 17. The non-transitory computer readable storage medium of claim 15, wherein the plurality of transport operational actions include a modification to a lower usage of the transport, a modification to a driving manner of the transport and a maintenance of the transport.
 18. The non-transitory computer readable storage medium of claim 15, wherein the method further comprises monitoring, by the server, the physical attributes of the transport which are sensed by the hardware sensors as the transport is being driven.
 19. The non-transitory computer readable storage medium of claim 15, wherein the method further comprises: receiving, by the server, a request from the transport to increase the transport performance level; and providing, by the server, the plurality of transport operational actions to perform based on a current use of the transport.
 20. The non-transitory computer readable storage medium of claim 15, wherein the method further comprises: receiving, by the server, information from the transport related to a state of health of the transport; and determining, by the server, an availability of the transport before the time period.
 21. The method of claim 1, further comprising: receiving additional sensor data from the transport captured by hardware sensors after transmission of the plurality of transport operational actions to perform; determining, based on the additional sensor data, whether the transport performance level score is improving after transmitting the plurality of transport operational actions to perform; and transmitting a notification to the transport about whether the transport performance level score is improving. 